Claims Analysis
Total Claims: 74
Claim 1
Independent Claim
163 words
A method of detecting noise in image signals which are obtained by exposing a stimulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) comparing the image signal a at each remark picture element A with values (b1+T1), (b2+T2), ..., (bn+Tn) obtained by adding predetermined values T1, T2, Tn respectively to image signals b1, b2, ..., bn at a plurality of picture elements B1, B2, ..., Bn in the vicinity of said remark picture element A, and (ii) recognizing that noise is contained in said image signal a in the case where said image signal a attains a value larger than every one of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 2
Independent Claim
163 words
A method of detecting noise in image signals which are obtained by exposing a stimulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) comparing the image signal a at each remark picture element A with values (b1+T1), (b2+T2), ..., (bn+Tn) obtained by adding predetermined values T1, T2, Tn respectively to image signals b1, b2, ..., bn at a plurality of picture elements B1, B2, ..., Bn in the vicinity of said remark picture element A, and (ii) recognizing that noise is contained in said image signal a in the case where said image signal a attains a value larger than every one of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 3
Dependent Claim
56 words
A method as defined in claim 1 wherein the image signals at the picture elements B1 and B2 adjacent to each said remark picture element A are denoted by b1 and b2, and it is recognized that noise is contained in said image signal a in the case where a>b1 and, at the same time, a>b2.
Claim 4
Dependent Claim
92 words
A method as defined in claim 1 wherein the image signals at the picture elements B1 and B2 adjacent to each said remark picture element A in the horizontal direction are denoted by b1 and b2, the image signals at the picture elements B3 and B4 adjacent to said remark picture element A in the vertical direction are denoted by b3 and b4, and it is recognized that noise is contained in said image signal a in the case where all of the conditions of a>b1, a>b2, a>b3, and a>b4 are satisfied.
Claim 5
Dependent Claim
151 words
A method as defined in claim 1 wherein the image signals at the picture elements B1 and B2 adjacent to each said remark picture element A in the horizontal direction are denoted by b1 and b2, the image signals at the picture elements B3 and B4 adjacent to said remark picture element A in the vertical direction are denoted by b3 and b4, the image signals at the picture elements B5 and B6 adjacent to said remark picture element A in one diagonal direction are denoted by b5 and b6, the image signals at the picture elements B7 and B8 adjacent to said remark picture element A in the other diagonal direction are denoted by b7 and b8, and it is recognized that noise is contained in said image signal a in the case where all of the conditions of a>b1, a>b2, a>b3, a>b4, a>b5, a>b6, a>b7, and a>b8 are satisfied.
Claim 6
Dependent Claim
86 words
A method as defined in claim 1 wherein two picture elements adjacent to each said remark picture element A are denoted by C1 and C2, the image signals at the picture elements B1 and B2 which are respectively adjacent to the picture elements C1 and C2 from the sides opposite to said remark picture element A are denoted by b1 and b2, and it is recognized that noise is contained in said image signal a in the case where a>b1+T1 and, at the same time, a>b2+T2.
Claim 7
Dependent Claim
151 words
A method as defined in claim 1 wherein two picture elements adjacent to each said remark picture element A in the horizontal direction are denoted by C1 and C2, the image signals at the picture elements B1 and B2 which are respectively adjacent to the picture elements C1 and C2 from the sides opposite to said remark picture element A are denoted by b1 and b2, two picture elements adjacent to said remark picture element A in the vertical direction are denoted by C3 and C4, the image signals at the picture elements B3 and B4 which are respectively adjacent to the picture elements C3 and C4 from the sides opposite to said remark picture element A are denoted by b3 and b4, and it is recognized that noise is contained in said image signal a in the case where all of the conditions of a>b1+T1, a>b2+T2, a>b3+T3and a>b4+T4 are satisfied.
Claim 8
Dependent Claim
265 words
A method as defined in claim 1 wherein two picture elements adjacent to each said remark picture element A in the horizontal direction are denoted by C1 and C2, the image signals at the picture elements B1 and B2 which are respectively adjacent to the picture elements C1 and C2 from the sides opposite to said remark picture element A are denoted by b1 and b2, two picture elements adjacent to said remark picture element A in the vertical direction are denoted by C3 and C4, the image signals at the picture elements B3 and B4 which are respectively adjacent to the picture elements C3 and C4 from the sides opposite to said remark picture element A are denoted by b3 and b4, two picture elements adjacent to said remark picture element A in one diagonal direction are denoted by C5 and C6, two picture elements adjacent to said remark picture element A in the other diagonal direction are denoted by C7 and C8, the image signals at the picture elements B5 and B6 adjacent to the picture elements C5 and C6 from the sides opposite to said remark picture element A are denoted by b5 and b6, the image signals at the picture elements B7 and B8 adjacent to the picture elements C7 and C8 from the sides opposite to said remark picture element A are denoted by b7 and b8, and it is recognized that noise is contained in said image signal a in the case where all of the conditions of a>b1+T1, a>b2+T2, a>b3+T3, a>b4+T4, a>b5+T5, a>b6+T6, a>b7+T7, and a>b8+T8 are satisfied.
Claim 9
Dependent Claim
33 words
A method as defined in claim 1, further comprising the step of converting the value of the image signal a to a converted value when noise is recognized in said image signal a.
Claim 10
Dependent Claim
20 words
A method as defined in claim 8, wherein said converted value is dependent on said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 11
Dependent Claim
21 words
A method as defined in claim 9, wherein said converted value is the maximum of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 12
Dependent Claim
21 words
A method as defined in claim 9, wherein said converted value is the minimum of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 13
Dependent Claim
22 words
A method as defined in claim 9, wherein said converted value is the mean value of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 14
Dependent Claim
22 words
A method as defined in claim 9, wherein said converted value is the median value of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 15
Dependent Claim
31 words
A method as defined in claim 9, wherein said converted value is a random value generated based on the mean value and the variance of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 16
Independent Claim
179 words
A method of detecting noise in image signals which are obtained by exposing a simtulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) calculating a representative value of a0 of image signals a1 to am at a plurality of remark picture elements A1 to Am which are adjacent to one another, (ii) comparing said representative value a0 with values (b1+T1), (b2+T2), ..., (bn+Tn) obtained by adding predetermined values T1, T2, ..., Tn respectively to image signals b1, b2, ..., bn at a plurality of picture elements A1 to Am, and (iii) recognizing that noise is contained in said image signals a1 to am in the case where said representative value a0 attains a value larger than every one of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 17
Independent Claim
179 words
A method of detecting noise in image signals which are obtained by exposing a simtulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) calculating a representative value of a0 of image signals a1 to am at a plurality of remark picture elements A1 to Am which are adjacent to one another, (ii) comparing said representative value a0 with values (b1+T1), (b2+T2), ..., (bn+Tn) obtained by adding predetermined values T1, T2, ..., Tn respectively to image signals b1, b2, ..., bn at a plurality of picture elements A1 to Am, and (iii) recognizing that noise is contained in said image signals a1 to am in the case where said representative value a0 attains a value larger than every one of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 18
Dependent Claim
62 words
A method as defined in claim 15 wherein the image signals at the picture elements B1 and B2 adjacent to a plurality of said remark picture elements A1 to Am are denoted by b1 and b2, and it is recognized that noise is contained in said image signals a1 to am in the case where a0>b1 and, at the same time, a0>b2.
Claim 19
Dependent Claim
100 words
A method as defined in claim 15 wherein the image signals at the picture elements B1 and B2 adjacent to a plurality of said remark picture elements A1 to Am in the horizontal direction are denoted by b1 and b2, the image signals at the picture elements B3 and B4 adjacent to said remark picture elements A1 to Am in the vertical direction are denoted by b3 and b4, and it is recognized that noise is contained in said image signals a1 to am in the case where all of the conditions of a0>b1, a0>b2, a0>b3, and a0>b4 are satisfied.
Claim 20
Dependent Claim
162 words
A method as defined in claim 15 wherein the image signals at the picture elements B1 and B2 adjacent to a plurality of said remark picture elements A1 to Am in the horizontal direction are denoted by b1 and b2, the image signals at the picture elements B3 and B4 adjacent to said remark picture elements A1 to Am in the vertical direction are denoted by b3 and b4, the image signals at the picture elements B5 and B6 adjacent to said remark picture elements A1 to Am in one diagonal direction are denoted by b≡and b6, the image signals at the picture elements B7 and B8 adjacent to said remark picture elements A1 to Am in the other diagonal direction are denoted by b7 and b8, and it is recognized that noise is contained in said image signals a1 to am in the case where all of the conditions of a0>b1, a0>b2, a0>b3, a0>b4, a0>b5, a0>b6, a0>b7, and a0>b8 are satisfied.
Claim 21
Dependent Claim
94 words
A method as defined in claim 15 wherein two picture elements adjacent to a plurality of said remark picture elements A1 to Am are denoted by C1 to C2, the image signals at the picture elements B1 and B2 which are respectively adjacent to the picture elements C1 and C2 from the sides opposite to said remark picture elements A1 to Am are denoted by b1 and b2, and it is recognized that noise is contained in said image signals a1 to am in the case where a0>b1+T1 and, at the same time, a0>b2+T2.
Claim 22
Dependent Claim
163 words
A method as defined in claim 15 wherein two picture elements adjacent to a plurality of said remark picture elements A1 to Am in the horizontal direction are denoted by C1 and C2, the image signals at the picture elements B1 and B2 which are respectively adjacent to the picture elements C1 and C2 from the sides opposite to said remark picture elements A1 to Am are denoted by b1 and b2, two picture elements adjacent to said remark picture elements A1 to Am in the vertical direction are denoted by C3 and C4, the image at the picture elements B3 and B4 which are respectively adjacent to the picture elements C3 and C4 from the sides opposite to said remark picture elements A1 to Am are denoted by b3 and b4, and it is recognized that noise is contained in said image signals a1 to am in the case where all of the conditions of a0>b1+T1, a0>b2+T2, a0>b3+T3, and a0>b4+T4 are satisfied.
Claim 23
Dependent Claim
285 words
A method as defined in claim 15 wherein two picture elements adjacent to a plurality of said remark picture elements A1 to Am in the horizontal direction are denoted by C1 and C2, the image signals at the picture elements B1 and B2 which are respectively adjacent to the picture elements C1 and C2 from the sides opposite to said remark picture elements A1 to Am are denoted by b1 and b2, two picture elements adjacent to said remark picture elements A1 to Am in the vertical direction are denoted by C3 and C4, the image signals at the picture elements B3 and B4 which are rspectively adjacent to the picture elements C3 and C4 from the sides opposite to said remark picture elements A1 to Am are denoted by b3 and b4, two picture elements adjacent to said remark picture elements A1 to Am in one diagonal direction are denoted by C5 and C6, two picture elements adjacent to said remark picture elements A1 to Am in the other diagonal direction are denoted by C7 and C8, the image signals at the picture elements B5 and B6 adjacent to the picture elements C5 and C6 from the sides opposite to said remark picture elements A1 to Am are denoted by b5 and b6, the image signals at the picture elements B7 and B8 adjacent to the picture elements C7 and C8 from the sides opposite to said remark picture elements A1 to Am are denoted by b7 and b8, and it is recognized that noise is contained in said image signals a1 to am in the case where all of the conditions of a0>b1+T1, a0>b2+T2, a0>b3+T3, a0>b4+T4, a0>b5+T5, a0>b6+T6, a0>b7+T7, and a0>b8+T8 are satisfied.
Claim 24
Independent Claim
166 words
A method of detecting noise in image signals which are obtained by exposing a stimulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) calculating a value m with respect to the image signal a at each remark picture element A and image signals b1, b2, b3, ..., bn at a plurality of picture elements B1, B2, B3, ..., Bn in the vicinity of said remark picture element A, and (iii) recognizing that noise is contained in said image signal a in the case where a>m+k where k denotes a constant and the value m is the median value of said image signal a and said image signals b1, b2, b3, ..., bn.
Claim 25
Independent Claim
166 words
A method of detecting noise in image signals which are obtained by exposing a stimulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) calculating a value m with respect to the image signal a at each remark picture element A and image signals b1, b2, b3, ..., bn at a plurality of picture elements B1, B2, B3, ..., Bn in the vicinity of said remark picture element A, and (iii) recognizing that noise is contained in said image signal a in the case where a>m+k where k denotes a constant and the value m is the median value of said image signal a and said image signals b1, b2, b3, ..., bn.
Claim 26
Dependent Claim
34 words
A method as defined in claim 22, wherein said constant k is of a value α times the variance σ of said image signals b1, b2, b3, ..., bn, where α denotes a constant.
Claim 27
Dependent Claim
22 words
A method as defined in claim 15, wherein said representative value a0 is the mean value of image signals a1 through am.
Claim 28
Dependent Claim
22 words
A method as defined in claim 15, wherein said representative value a0 is the median value of image signals a1 through am.
Claim 29
Dependent Claim
33 words
A method as defined in claim 15, further comprising the step of converting the value of the image signal a to a converted value when noise is recognized in said image signal a.
Claim 30
Dependent Claim
20 words
A method as defined in claim 17, wherein said converted value is dependent on said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 31
Dependent Claim
21 words
A method as defined in claim 27, wherein said converted value is the maximum of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 32
Dependent Claim
21 words
A method as defined in claim 27, wherein said converted value is the minimum of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 33
Dependent Claim
22 words
A method as defined in claim 27, wherein said converted value is the mean value of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 34
Dependent Claim
22 words
A method as defined in claim 27, wherein said converted value is the median value of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 35
Dependent Claim
31 words
A method as defined in claim 27, wherein said converted value is a random value generated based on the mean value and the variance of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 36
Dependent Claim
33 words
A method as defined in claim 22, further comprising the step of converting the value of the image signal a to a converted value when noise is recognized in said image signal a.
Claim 37
Dependent Claim
20 words
A method as defined in claim 33, wherein said converted value is dependent on said values b1, b2, ..., bn.
Claim 38
Dependent Claim
21 words
A method as defined in claim 34, wherein said converted value is the maximum of said values b1, b2, ..., bn.
Claim 39
Dependent Claim
21 words
A method as defined in claim 34, wherein said converted value is the minimum of said values b1, b2, ..., bn.
Claim 40
Dependent Claim
22 words
A method as defined in claim 34, wherein said converted value is the mean value of said values b1, b2, ..., bn.
Claim 41
Dependent Claim
22 words
A method as defined in claim 34, wherein said converted value is the median value of said values b1, b2, ..., bn.
Claim 42
Dependent Claim
31 words
A method as defined in claim 34, wherein said converted value is a random value generated based on the mean value and the variance of said values b1, b2, ..., bn.
Claim 43
Dependent Claim
23 words
A method as defined in claim 22, further comprising the step of detecting the size of a black point N causing the noise.
Claim 44
Dependent Claim
52 words
A method as defined in claim 40, further comprising the step of converting said image signal a to a converted value when noise is recognized in said image signal a and converting the values of said image signals b1, b2, b3, ..., bn depending on the size of said black point N.
Claim 45
Dependent Claim
69 words
A method as defined in claim 40, wherein the size of the black point N causing the noise is detected by comparing the image signals b1, b2, b3, ..., bn with m+k wherein k is of a value α times the variance of said image signals b1, b2, b3, ..., bn, where α is dependent on which of the image signals b1, b2, b3, ..., bn is being compared.
Claim 46
Dependent Claim
49 words
A method as defined in claim 42, further comprising the step of converting the value of the image signal a to a converted value when noise is recognized in said image signal and converting the values of said image signals b1, b2, b3, ..., bn depending on said comparison.
Claim 47
Independent Claim
164 words
A method of detecting noise in image signals which are obtained by exposing a stimulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) extracting said image signals into a plurality of blocks into which said stimulable phosphor sheet is divided, each block having n picture elements, (ii) calculating a value m which depends on the extracted image signals Fi, where i=1, 2, 3, ..., n, in each of the blocks, (iii) sequentially comparing the respective image signals Fi with a value of m+k, where k denotes a constant, in each of the blocks, and (iv) recognizing that noise is contained in said image signals Fi in the case where Fi>m+k.
Claim 48
Independent Claim
164 words
A method of detecting noise in image signals which are obtained by exposing a stimulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) extracting said image signals into a plurality of blocks into which said stimulable phosphor sheet is divided, each block having n picture elements, (ii) calculating a value m which depends on the extracted image signals Fi, where i=1, 2, 3, ..., n, in each of the blocks, (iii) sequentially comparing the respective image signals Fi with a value of m+k, where k denotes a constant, in each of the blocks, and (iv) recognizing that noise is contained in said image signals Fi in the case where Fi>m+k.
Claim 49
Dependent Claim
26 words
A method as defined in claim 44 wherein said value m is the mean value of said image signals Fi, where i=1, 2, 3, ..., n.
Claim 50
Dependent Claim
26 words
A method as defined in claim 44 wherein said value m is the median value of said image signals Fi, where i=1, 2, 3, ..., n.
Claim 51
Independent Claim
41 words
A method as defined in any of claims 44, 45 and 46 wherein said constant k is of a value k0 times the variance σ of said image signals Fi, where i=1, 2, 3, ..., n, and k0 denotes a constant.
Claim 52
Dependent Claim
33 words
A method as defined in claim 44, further comprising the step of converting the value of the image signal a to a converted value when noise is recognized in said image signal a.
Claim 53
Dependent Claim
32 words
A method as defined in claim 44, further comprising the step of recognizing that noise is contained in predetermined ones of said image signals Fi in the case where: Fi>m+k2 where k2>k.
Claim 54
Dependent Claim
22 words
A method as defined in claim 49, wherein the predetermined image signals are those image signals Fi having comparatively low noise level.
Claim 55
Dependent Claim
33 words
A method as defined in claim 49, further comprising the step of converting the value of the image signal Fi to a converted value when noise is recognized in said image signal Fi.
Claim 56
Dependent Claim
18 words
A method as defined in claim 44, wherein the peripheral regions of adjacent ones of said blocks overlap.
Claim 57
Independent Claim
164 words
A method of detecting noise in image signals which are obtained by exposing a stimulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) calculating the difference values Di=Fi-[Fi-1]F(i-1), where i=2, 3, ..., n, between adjacent ones among the image signals F1 , F2, F3, ..., Fn at picture elements A1, A2, A3, ..., An standing in a line in one direction, (ii) detecting the difference values Dj and Dk, where j<k, that satisfy the conditions of Dj>T1, Dk<-T2 where T1 and T2 denote positive constants, and (iii) recognizing that noise is contained in the image signals Fj to [Fk-1]F(k-1) in the case where k<j+u where u denotes a positive constant.
Claim 58
Independent Claim
164 words
A method of detecting noise in image signals which are obtained by exposing a stimulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) calculating the difference values Di=Fi-[Fi-1]F(i-1), where i=2, 3, ..., n, between adjacent ones among the image signals F1 , F2, F3, ..., Fn at picture elements A1, A2, A3, ..., An standing in a line in one direction, (ii) detecting the difference values Dj and Dk, where j<k, that satisfy the conditions of Dj>T1, Dk<-T2 where T1 and T2 denote positive constants, and (iii) recognizing that noise is contained in the image signals Fj to [Fk-1]F(k-1) in the case where k<j+u where u denotes a positive constant.
Claim 59
Dependent Claim
33 words
A method as defined in claim 53, further comprising the step of converting the value of the image signal Fi to a converted value when noise is recognized in said image signal Fi.
Claim 60
Independent Claim
318 words
A method of detecting noise in image signals which are obtained by exposing a stimulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and a photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) calculating the difference values Di=Fi-[Fi-1]F(i-1), where i=2, 3, ..., n, between adjacent ones among the image signals F1, F2, F3, Fn at picture elements A1, A2, A3, ..., An standing in a line in one direction, (ii) detecting the difference values Dj and Dk, where j>k, what satisfy the conditions of Dj>T1, Dk<-T2 where T1 and T2 denote positive constants. (iii) calculating a two-dimensional position (s1t1) of a middle picture element A0 among such picture elements Aj to [Ak-1]A(k-1) that k<j+u, where u denotes a positive constant, on said stimulable phosphor sheet, (iv) calculating the difference values Ei=Gi-[Gi-1]G(i-1), where i=2, 3, ..., m, between adjacent ones among the image signals G1, G2, G3, ..., Gm at picture elements B1, B2, B3, ..., Bm standing in a line approximately normal to the direction in which said picture elements A1, A2, A3, ..., An stand in a line, (v) detecting the difference values Ep and Eq, where p<q, that satisfy the conditions of Ep>T3, Eq<-T4 where T3 and T4 denote positive constant, (vi) calculating a two-dimensional position (s2, t2) of a middle picture element B0 among such picture elements Bp to [Bq-1]B(q-1) that 1<p+v, where v denotes a positive constant, on said stimulable phosphor sheet, and (vii) recognizing that noise is contained in the image signals Fj to [Fk-1]F(k-1) or in the image signals Gp to [G1- 1]G(q-1) in the case where |s1-s2|<α, or |t1-t2|<β where α and β denote positive constants.
Claim 61
Independent Claim
318 words
A method of detecting noise in image signals which are obtained by exposing a stimulable phosphor sheet carrying a radiation image stored thereon to stimulating rays, and a photoelectrically detecting light emitted by the portion of the stimulable phosphor sheet exposed to the stimulating rays in proportion to the stored radiation energy by use of a photodetector, and which represent the radiation image, is detected, the method of detecting noise in image signals comprising the steps of: (i) calculating the difference values Di=Fi-[Fi-1]F(i-1), where i=2, 3, ..., n, between adjacent ones among the image signals F1, F2, F3, Fn at picture elements A1, A2, A3, ..., An standing in a line in one direction, (ii) detecting the difference values Dj and Dk, where j>k, what satisfy the conditions of Dj>T1, Dk<-T2 where T1 and T2 denote positive constants. (iii) calculating a two-dimensional position (s1t1) of a middle picture element A0 among such picture elements Aj to [Ak-1]A(k-1) that k<j+u, where u denotes a positive constant, on said stimulable phosphor sheet, (iv) calculating the difference values Ei=Gi-[Gi-1]G(i-1), where i=2, 3, ..., m, between adjacent ones among the image signals G1, G2, G3, ..., Gm at picture elements B1, B2, B3, ..., Bm standing in a line approximately normal to the direction in which said picture elements A1, A2, A3, ..., An stand in a line, (v) detecting the difference values Ep and Eq, where p<q, that satisfy the conditions of Ep>T3, Eq<-T4 where T3 and T4 denote positive constant, (vi) calculating a two-dimensional position (s2, t2) of a middle picture element B0 among such picture elements Bp to [Bq-1]B(q-1) that 1<p+v, where v denotes a positive constant, on said stimulable phosphor sheet, and (vii) recognizing that noise is contained in the image signals Fj to [Fk-1]F(k-1) or in the image signals Gp to [G1- 1]G(q-1) in the case where |s1-s2|<α, or |t1-t2|<β where α and β denote positive constants.
Claim 62
Dependent Claim
33 words
A method as defined in claim 55, further comprising the step of converting the value of the image signal Fi to a converted value when noise is recognized in said image signal Fi.
Claim 63
Independent Claim
100 words
A method of detecting noise in image signals comprising the steps of: (i) comparing the image signal a at each remark picture element A with values (b1+T1), (b2+T2), ..., (bn+Tn) obtained by adding predetermined values T1, T2, ..., Tn respectively to image signals b1, b2, ..., bn at a plurality of picture elements B1, B2, ..., Bn in the vicinity of said remark picture element A, and (ii) recognizing that noise is contained in said image signal a in the case where said image signal a attains a value larger than every one of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 64
Independent Claim
100 words
A method of detecting noise in image signals comprising the steps of: (i) comparing the image signal a at each remark picture element A with values (b1+T1), (b2+T2), ..., (bn+Tn) obtained by adding predetermined values T1, T2, ..., Tn respectively to image signals b1, b2, ..., bn at a plurality of picture elements B1, B2, ..., Bn in the vicinity of said remark picture element A, and (ii) recognizing that noise is contained in said image signal a in the case where said image signal a attains a value larger than every one of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 65
Independent Claim
126 words
A method of detecting noise in image signals comprising the steps of: (i) calculating a representative value a0 of image signals a1 to am at a plurality of remark picture elements A1 to Am which are adjacent to one another, (ii) comparing said representative value a0 with values (b1+T1), (b2+T2), ..., (bn+Tn) obtained by adding predetermined values T1, T2, ..., Tn respectively to image signals b1, b2, ..., bn at a plurality of picture elements B1, B2, ..., Bn in the vicinity of said remark picture elements A1 to Am, and (iii) recognizing that noise is contained in said image signals a1 to am in the case where said representative value a0 attains a value larger than every one of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 66
Independent Claim
126 words
A method of detecting noise in image signals comprising the steps of: (i) calculating a representative value a0 of image signals a1 to am at a plurality of remark picture elements A1 to Am which are adjacent to one another, (ii) comparing said representative value a0 with values (b1+T1), (b2+T2), ..., (bn+Tn) obtained by adding predetermined values T1, T2, ..., Tn respectively to image signals b1, b2, ..., bn at a plurality of picture elements B1, B2, ..., Bn in the vicinity of said remark picture elements A1 to Am, and (iii) recognizing that noise is contained in said image signals a1 to am in the case where said representative value a0 attains a value larger than every one of said values (b1+T1), (b2+T2), ..., (bn+Tn).
Claim 67
Independent Claim
102 words
A method of detecting noise in image signals comprising the steps of: (i) calculating a value m with respect to the image signal a at each remark picture element A and image signals b1, b2, b3, ..., bn at a plurality of picture elements B1, B2, B3, ..., Bn in the vicinity of said remark picture element A, and (iii) recognizing that noise is contained in said image signal a in the case where a>m+k where k denotes a constant and the value m is the median value of said image signal a and said image signals b1, b2, b3, ..., bn.
Claim 68
Independent Claim
102 words
A method of detecting noise in image signals comprising the steps of: (i) calculating a value m with respect to the image signal a at each remark picture element A and image signals b1, b2, b3, ..., bn at a plurality of picture elements B1, B2, B3, ..., Bn in the vicinity of said remark picture element A, and (iii) recognizing that noise is contained in said image signal a in the case where a>m+k where k denotes a constant and the value m is the median value of said image signal a and said image signals b1, b2, b3, ..., bn.
Claim 69
Independent Claim
91 words
A method of detecting noise in image signals comprising the steps of: (i) extracting said image signals into a plurality of blocks each having n picture elements, (ii) calculating a value m which depends on the extracted image signals Fi, where i=1, 2, 3, ..., n, in each of the blocks, (iii) sequentially comparing the respective image signals Fi with a value of m+k, where k denotes a constant, in each of the blocks, and (iv) recognizing that noise is contained in said image signals Fi in the case where Fi>m+k.
Claim 70
Independent Claim
91 words
A method of detecting noise in image signals comprising the steps of: (i) extracting said image signals into a plurality of blocks each having n picture elements, (ii) calculating a value m which depends on the extracted image signals Fi, where i=1, 2, 3, ..., n, in each of the blocks, (iii) sequentially comparing the respective image signals Fi with a value of m+k, where k denotes a constant, in each of the blocks, and (iv) recognizing that noise is contained in said image signals Fi in the case where Fi>m+k.
Claim 71
Independent Claim
98 words
A method of detecting noise in image signals comprising the steps of: (i) calculating the difference values Di=Fi-F(i-1), where i=2, 3, ..., n, between adjacent ones among the image signals F1, F2, F3, Fn at picture elements A1, A2, A3, ..., An standing in a line in one direction, (ii) detecting the difference values Dj and Dk, where j<k, that satisfy the conditions of Dj>T1, Dk<-T2 where T1 and T2 denote positive constants, and (iii) recognizing that noise is contained in the image signals Fj to F(k-1) in the case where k<j+u where u denotes a positive constant.
Claim 72
Independent Claim
98 words
A method of detecting noise in image signals comprising the steps of: (i) calculating the difference values Di=Fi-F(i-1), where i=2, 3, ..., n, between adjacent ones among the image signals F1, F2, F3, Fn at picture elements A1, A2, A3, ..., An standing in a line in one direction, (ii) detecting the difference values Dj and Dk, where j<k, that satisfy the conditions of Dj>T1, Dk<-T2 where T1 and T2 denote positive constants, and (iii) recognizing that noise is contained in the image signals Fj to F(k-1) in the case where k<j+u where u denotes a positive constant.
Claim 73
Independent Claim
249 words
A method of detecting noise in image signals comprising the steps of: (i) calculating the difference values Di=Fi-F(i-1), where i=2, 3, ..., n, between adjacent ones among the image signals F1, F2, F3, ..., Fn at picture elements A1, A2, A3, ..., An standing in a line in one direction, (ii) detecting the difference values Dj and Dk, where j<k, what satisfy the conditions of Dj>T1, Dk<-T2 where T1 and T2 denote positive constants, (iii) calculating a two-dimensional position (s1, t1) of a middle picture element A0 among such picture elements Aj to A(k-1) that k<j+u, where u denotes a positive constant, (iv) calculating the difference values Ei=Gi-G(i-1), where i=2, 3, ..., m, between adjacent ones among the image signals G1, G2, G3, ..., Gm at picture elements B1, B2, B3, ..., Bm standing in a line approximately normal to the direction in which said picture elements A1, A2, A3, ..., An stand in a line, (v) detecting the difference values Ep and Eq, where p<q, that satisfy the conditions of Ep>T3, Eq<-T4 where T3 and T4 denote positive constant, (vi) calculating a two-dimensional position (s2, t2) of a middle picture element B0 among such picture elements Bp to B(q-1) that q<p+v, where v denotes a positive constant, on said stimulable phosphor sheet, and (vii) recognizing that noise is contained in the image signals Fj to F(k-1) or in the image signals Gp to G(q-1) in the case where |s1-s2|<α, or |t1-t2|<β where α and β denote positive constants.
Claim 74
Independent Claim
249 words
A method of detecting noise in image signals comprising the steps of: (i) calculating the difference values Di=Fi-F(i-1), where i=2, 3, ..., n, between adjacent ones among the image signals F1, F2, F3, ..., Fn at picture elements A1, A2, A3, ..., An standing in a line in one direction, (ii) detecting the difference values Dj and Dk, where j<k, what satisfy the conditions of Dj>T1, Dk<-T2 where T1 and T2 denote positive constants, (iii) calculating a two-dimensional position (s1, t1) of a middle picture element A0 among such picture elements Aj to A(k-1) that k<j+u, where u denotes a positive constant, (iv) calculating the difference values Ei=Gi-G(i-1), where i=2, 3, ..., m, between adjacent ones among the image signals G1, G2, G3, ..., Gm at picture elements B1, B2, B3, ..., Bm standing in a line approximately normal to the direction in which said picture elements A1, A2, A3, ..., An stand in a line, (v) detecting the difference values Ep and Eq, where p<q, that satisfy the conditions of Ep>T3, Eq<-T4 where T3 and T4 denote positive constant, (vi) calculating a two-dimensional position (s2, t2) of a middle picture element B0 among such picture elements Bp to B(q-1) that q<p+v, where v denotes a positive constant, on said stimulable phosphor sheet, and (vii) recognizing that noise is contained in the image signals Fj to F(k-1) or in the image signals Gp to G(q-1) in the case where |s1-s2|<α, or |t1-t2|<β where α and β denote positive constants.