CN116630433B - Full-scale blackness film image digitizing method, system, equipment and medium - Google Patents
Full-scale blackness film image digitizing method, system, equipment and medium Download PDFInfo
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- CN116630433B CN116630433B CN202310448168.8A CN202310448168A CN116630433B CN 116630433 B CN116630433 B CN 116630433B CN 202310448168 A CN202310448168 A CN 202310448168A CN 116630433 B CN116630433 B CN 116630433B
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- 238000004590 computer program Methods 0.000 claims description 12
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- 238000006243 chemical reaction Methods 0.000 claims description 5
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention provides a full-scale blackness film image digitizing method, which comprises the steps of calibrating a scanner camera by using a standard film image, determining corresponding curves of gray scales and blackness of the scanner camera on different exposure times, judging gray scale values of each pixel point in the standard film image by using a traversing algorithm standard film image, determining corresponding blackness values, sequencing the pixel points according to the positions of the pixel points on the standard film image according to the blackness values, obtaining a blackness image, converting the blackness values in the blackness image into the gray scale values, obtaining a complete image, realizing visualization, solving the problem of uneven blackness distribution of film datamation, and improving efficiency.
Description
Technical Field
The invention relates to the technical field of blackness films, in particular to a method, a system, equipment and a medium for digitizing full-scale blackness film images.
Background
Currently, a scanner is used for scanning a negative film with larger blackness span, and only parameters such as exposure time of the scanner are simply changed to scan, so that a single picture obtained in the mode can only display part of contents on the negative film, and the whole negative film cannot be completely obtained: the areas with low exposure time and high blackness are all black, and information cannot be obtained; the regions with high exposure time and low blackness are overexposed, and all the regions are white.
Therefore, only by adjusting different exposure times to take a plurality of pictures, the information of the whole negative film can be completely checked, so that the scanning efficiency is low.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a full-scale blackness film image digitizing method and system, which are used for solving the technical problem that the scanning efficiency is low because the information of the whole film can be completely checked only by adjusting different exposure times to shoot a plurality of pictures in the prior art.
The invention provides a full-scale blackness film image digitizing method, which comprises the following steps:
s1, calibrating a scanner camera by using a standard film, wherein the scanner camera acquires films based on different exposure time to obtain film images with different exposure time, and determining corresponding curves of gray scale and blackness of the scanner camera at different exposure time;
s2, judging the gray value of each pixel point in the negative film image with different exposure time by using a traversal algorithm, and determining the blackness value of the corresponding exposure time according to the corresponding curve of the gray value corresponding to the gray and blackness of the negative film image with different exposure time;
s3, sequencing the blackness values according to the positions of the pixel points on the original negative film image to obtain a blackness map;
s4, converting the blackness value in the blackness map into a gray value to obtain a complete picture.
Optionally, the scanner camera acquires a negative film based on different exposure times, obtains negative film images of the different exposure times, and determines corresponding curves of gray scale and blackness of the scanner camera at the different exposure times, including:
s101, acquiring a first film image under a first exposure time, and determining different density target positions from the first film image to obtain a first density target coordinate;
s102, reading effective gray values of different step density targets in a first density target coordinate, and creating an exponential function taking an OD value of the gray density target as an abscissa to obtain a first gray and blackness fitting formula, wherein the first gray and blackness fitting formula is expressed as:
Y＝a 1 +b 1 ×e c1x+d1
wherein X represents gray scale, Y represents blackness, a 1 、b 1 、c 1 、d 1 Are all very commonA number;
s103, acquiring a second film image under a second exposure time, and determining different density target positions from the second film image to obtain a second density target coordinate;
s104, reading effective gray values of different step density targets in the second density target coordinates, and creating an exponential function taking the OD value of the gray density targets as the abscissa and the ordinate to obtain a second gray and blackness fitting formula, wherein the second gray and blackness fitting formula is expressed as:
Y＝a 2 +b 2 ×e c2x+d2
wherein X represents gray scale, Y represents blackness, a 2 、b 2 、c 2 、d 2 Are all constant;
s105, combining a first gray level and blackness fitting formula and a second gray level and blackness fitting formula to obtain blackness and gray level formulas applicable to blackness intervals, and obtaining a threshold value of gray level, wherein the blackness and gray level formulas are as follows:
X＝a 3 Y+b 3
wherein X represents gray scale, Y represents blackness, a 3 、b 3 Are constant.
Optionally, the determining, by using a traversal algorithm, a gray value of each pixel point in the film image with different exposure times, and determining, according to a corresponding curve of the gray value corresponding to gray and black levels on different exposure times, a black level value of the corresponding exposure time includes:
judging each pixel point in the first negative image by using a traversal algorithm, and if the gray value of the pixel point is smaller than or equal to the threshold value, using the gray value of the pixel point at the same position of the first negative image, and importing the blackness value corresponding to the first exposure time; if the gray value of the pixel point is larger than the threshold value, the gray value of the pixel point at the same position of the second negative image is used, and the blackness value corresponding to the second exposure time is imported.
Optionally, the converting the blackness value in the blackness map into a gray value, to obtain a complete picture includes:
and calculating a gray value according to the blackness and gray formula to obtain an optimized complete picture.
The invention also provides a full-scale blackness film image digitizing system, which comprises:
the calibration module is used for calibrating the scanner camera by using the standard film, the scanner camera acquires films based on different exposure time to obtain film images with different exposure time, and corresponding curves of gray scale and blackness of the scanner camera on different exposure time are determined;
the judging module is used for judging the gray value of each pixel point in the negative film image with different exposure time by using a traversal algorithm, and determining the blackness value of the corresponding exposure time according to the corresponding curve of the gray value corresponding to the gray and blackness of the negative film image with different exposure time;
the sequencing module is used for sequencing the blackness values according to the positions of the pixel points of the blackness values on the original negative film image to obtain a blackness map;
and the conversion module is used for converting the blackness value in the blackness map into a gray value to obtain a complete picture.
Optionally, the calibration module includes:
acquiring a first film image under a first exposure time, and determining different density target positions from the first film image to obtain a first density target coordinate;
reading effective gray values of different step density targets in a first density target coordinate, and creating an exponential function taking an OD value of the gray density target as an abscissa to obtain a first gray and blackness fitting formula, wherein the first gray and blackness fitting formula is expressed as:
Y＝a 1 +b 1 ×e c1x+d1
wherein X represents gray scale, Y represents blackness, a 1 、b 1 、c 1 、d 1 Are all constant;
acquiring a second film image under a second exposure time, and determining different density target positions from the second film image to obtain a second density target coordinate;
reading effective gray values of different step density targets in the second density target coordinates, and creating an exponential function taking the OD value of the gray density targets as the abscissa and the ordinate to obtain a second gray and blackness fitting formula, wherein the second gray and blackness fitting formula is expressed as:
Y＝a 2 +b 2 ×e c2x+d2
wherein X represents gray scale, Y represents blackness, a 2 、b 2 、c 2 、d 2 Are all constant;
combining a first gray level and blackness fitting formula and a second gray level and blackness fitting formula to obtain blackness and gray level formulas applicable to blackness intervals, and obtaining a threshold value of gray level, wherein the blackness and gray level formulas are as follows:
X＝a 3 Y+b 3
wherein X represents gray scale, Y represents blackness, a 3 、b 3 Are constant.
Optionally, the judging module includes:
judging each pixel point in the first negative image by using a traversal algorithm, and if the gray value of the pixel point is smaller than or equal to the threshold value, using the gray value of the pixel point at the same position of the first negative image, and importing the blackness value corresponding to the first exposure time; if the gray value of the pixel point is larger than the threshold value, the gray value of the pixel point at the same position of the second negative image is used, and the blackness value corresponding to the second exposure time is imported.
Optionally, the conversion module includes:
and calculating a gray value according to the blackness and gray formula to obtain an optimized complete picture.
The invention also provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of any of the preceding methods when executing the computer program.
The invention also provides a computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor implements the steps of any of the methods described above.
Compared with the prior art, the invention has the following beneficial effects:
the method comprises the steps of calibrating a scanner camera by using a standard film image, determining corresponding curves of gray scale and blackness of the scanner camera at different exposure times, judging gray scale values of each pixel point by traversing the standard film image, determining corresponding blackness values, sequencing the pixel points according to the blackness values according to positions of the pixel points on the standard film image, obtaining a blackness map, converting the blackness values in the blackness map into gray scale values, obtaining a complete picture, realizing visualization, solving the problem of uneven blackness distribution of negative film data, and improving efficiency.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a schematic representation of an embodiment of the present invention;
FIG. 3 is a schematic flow chart of the implementation of gray scale and darkness corresponding curves of a scanner camera at different exposure times according to the present invention;
FIG. 4 is a standard wafer used in the scanner of the present invention;
FIG. 5 is a photograph of the present invention scanned at a 25ms exposure time;
FIG. 6 is a photograph of the present invention scanned at 400ms exposure time;
fig. 7 is a combined picture of fig. 4 and 5.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein. The functional units of the same reference numerals in the examples of the present invention have the same and similar structures and functions.
Referring to fig. 1, the present invention provides a full-scale blackness film image digitizing method, comprising:
s1, calibrating a scanner camera by using a standard film, wherein the scanner camera acquires films based on different exposure time to obtain film images with different exposure time, and determining corresponding curves of gray scale and blackness of the scanner camera at different exposure time;
s2, judging the gray value of each pixel point in the negative film image with different exposure time by using a traversal algorithm, and determining the blackness value of the corresponding exposure time according to the corresponding curve of the gray value corresponding to the gray and blackness of the negative film image with different exposure time;
s3, sequencing the blackness values according to the positions of the pixel points on the original negative film image to obtain a blackness map;
s4, converting the blackness value in the blackness map into a gray value to obtain a complete picture.
In the embodiment, a specific full-scale blackness film image digitizing method is provided, wherein S1, a standard film is used for calibrating a scanner camera, the scanner camera collects films based on different exposure time, film images with different exposure time are obtained, and corresponding curves of gray scale and blackness of the scanner camera in different exposure time are determined;
scanner camera using standard film as seen in fig. 4Calibrating, referring to fig. 2, first, acquiring a first film image under low exposure time (25 ms) by using a scanner camera, determining different density target positions from the first film image, obtaining density target coordinates, reading effective gray values of different step density targets in the first density target coordinates, creating an exponential function taking an OD value of the gray density target as an abscissa, and obtaining a first gray and blackness fitting formula: y=16574.70433+125.29567×e ((65535-x-1292)÷12371.57789 ) X represents gray scale, and Y represents blackness; then changing the exposure time of the scanner camera to 400ms, without moving the standard film, obtaining a second negative image under the high exposure time (400 ms), and repeating the steps to obtain a second gray scale and blackness fitting formula under the exposure time of 400 ms: y=29588.92211+111.07789×e ((655535 -x-9269)÷10037.83049 ) X represents gray scale, and Y represents blackness; and combining the first gray level and blackness fitting formula and the second gray level and blackness fitting formula under the exposure time of 25ms and 400ms to obtain the blackness and gray level formula applicable to the blackness interval, and obtaining a threshold value of gray level.
Referring to fig. 4 and 5, a first film image and a second film image are acquired at exposure times of 25ms and 400ms, respectively.
S2, judging the gray value of each pixel point in the negative film image with different exposure time by using a traversal algorithm, and determining the blackness value of the corresponding exposure time according to the corresponding curve of the gray value corresponding to the gray and blackness of the negative film image with different exposure time;
referring to fig. 2 and 3, the algorithm is used to traverse the first film image acquired by the scanner under the condition of 25ms exposure time, and each pixel point in the first film image is determined as follows:
if the gray value of the pixel point is smaller than or equal to the threshold value, using the gray value of the pixel point at the same position of the first negative image to import a blackness value corresponding to the first exposure time; if the gray value of the pixel point is larger than the threshold value, the gray value of the pixel point at the same position of the second negative image is used, and the blackness value corresponding to the second exposure time is imported.
And S3, sequencing the blackness values according to the positions of the pixel points on the original negative film image to obtain a blackness map.
S4, converting the blackness value in the blackness map into a gray value to obtain a complete picture.
Referring to fig. 7, according to the darkness and gray formula applicable to the darkness interval, gray is calculated, gray=65535-darkness is 10000, and an optimized picture can be obtained, so that visualization is realized, the problem of uneven distribution of the darkness of the backsheet datamation is solved, and efficiency is improved.
Taking the scanned pictures shown in fig. 4 and 5 as an example, the pictures obtained by scanning under the single exposure time of 25ms are shown in fig. 4, and some areas are pure black; the pictures obtained by scanning at a single exposure time of 400ms are shown in fig. 5, with some areas being purely white. The final combination effect achieved by using the corresponding gray and darkness fitting formulas is shown in fig. 6, and standard negative films with different densities in the 6 circles at the center can be seen clearly at the same time.
Remarks: since only the exposure time parameters of the camera need to be changed by software when two pictures with different exposure times are acquired, the picture positions do not need to be replaced.
The invention also provides a full-scale blackness film image digitizing system, which comprises:
the calibration module is used for calibrating the scanner camera by using the standard film, the scanner camera acquires films based on different exposure time to obtain film images with different exposure time, and corresponding curves of gray scale and blackness of the scanner camera on different exposure time are determined;
the judging module is used for judging the gray value of each pixel point in the negative film image with different exposure time by using a traversal algorithm, and determining the blackness value of the corresponding exposure time according to the corresponding curve of the gray value corresponding to the gray and blackness of the negative film image with different exposure time;
the sequencing module is used for sequencing the blackness values according to the positions of the pixel points of the blackness values on the original negative film image to obtain a blackness map;
and the conversion module is used for converting the blackness value in the blackness map into a gray value to obtain a complete picture.
The invention also provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of any of the preceding methods when executing the computer program.
The invention also provides a computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor implements the steps of any of the methods described above.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The full-scale blackness film image digitizing method is characterized by comprising the following steps:
s101, acquiring a first film image under a first exposure time, and determining different density target positions from the first film image to obtain a first density target coordinate;
s102, reading effective gray values of different step density targets in a first density target coordinate, and creating an exponential function taking an OD value of the gray density target as an abscissa to obtain a first gray and blackness fitting formula, wherein the first gray and blackness fitting formula is expressed as:
Y＝a 1 +b 1 ×e c1x+d1
wherein X represents gray scale, Y represents blackness, a 1 、b 1 All of c1 and d1 are constants;
s103, acquiring a second film image under a second exposure time, and determining different density target positions from the second film image to obtain a second density target coordinate;
s104, reading effective gray values of different step density targets in the second density target coordinates, and creating an exponential function taking the OD value of the gray density targets as the abscissa and the ordinate to obtain a second gray and blackness fitting formula, wherein the second gray and blackness fitting formula is expressed as:
Y＝a 2 +b 2 ×e c2x+d2
wherein X represents gray scale, Y represents blackness, a 2 、b 2 All c2, d2 are constants;
s105, combining a first gray level and blackness fitting formula and a second gray level and blackness fitting formula to obtain blackness and gray level formulas applicable to blackness intervals, and obtaining a threshold value of gray level, wherein the blackness and gray level formulas are as follows:
X＝a 3 Y+b 3
wherein X represents gray scale, Y represents blackness, a 3 、b 3 Are all constant;
s2, judging the gray value of each pixel point in the negative film image with different exposure time by using a traversal algorithm, and determining the blackness value of the corresponding exposure time according to the corresponding curve of the gray value corresponding to the gray and blackness of the negative film image with different exposure time;
s3, sequencing the blackness values according to the positions of the pixel points on the original negative film image to obtain a blackness map;
s4, converting the blackness value in the blackness map into a gray value to obtain a complete picture.
2. The method of claim 1, wherein the determining the darkness value of the corresponding exposure time according to the corresponding curve of the darkness and the darkness of the gray value corresponding to the different exposure time comprises:
judging each pixel point in the first negative image by using a traversal algorithm, and if the gray value of the pixel point is smaller than or equal to the threshold value, using the gray value of the pixel point at the same position of the first negative image, and importing the blackness value corresponding to the first exposure time; if the gray value of the pixel point is larger than the threshold value, the gray value of the pixel point at the same position of the second negative image is used, and the blackness value corresponding to the second exposure time is imported.
3. The method for digitizing a full-scale blackness film image according to claim 2, wherein converting the blackness value in the blackness map into a gray value, obtaining a complete picture comprises:
and calculating a gray value according to the blackness and gray formula to obtain an optimized complete picture.
4. A full-scale blackness film image digitizing system, comprising:
the calibration module is used for acquiring a first film image under the first exposure time, determining different density target positions from the first film image and obtaining a first density target coordinate;
reading effective gray values of different step density targets in a first density target coordinate, and creating an exponential function taking an OD value of the gray density target as an abscissa to obtain a first gray and blackness fitting formula, wherein the first gray and blackness fitting formula is expressed as:
Y＝a 1 +b 1 ×e c1x+d1
wherein X represents gray scale, Y represents blackness, a 1 、b 1 All of c1 and d1 are constants;
acquiring a second film image under a second exposure time, and determining different density target positions from the second film image to obtain a second density target coordinate;
reading effective gray values of different step density targets in the second density target coordinates, and creating an exponential function taking the OD value of the gray density targets as the abscissa and the ordinate to obtain a second gray and blackness fitting formula, wherein the second gray and blackness fitting formula is expressed as:
Y＝a 2 +b 2 ×e c2x+d2
wherein X represents gray scale, Y represents blackness, a 2 、b 2 All c2, d2 are constants;
combining a first gray level and blackness fitting formula and a second gray level and blackness fitting formula to obtain blackness and gray level formulas applicable to blackness intervals, and obtaining a threshold value of gray level, wherein the blackness and gray level formulas are as follows:
X＝a 3 Y+b 3
wherein X represents gray scale, Y represents blackness, a 3 、b 3 Are all constant;
the judging module is used for judging the gray value of each pixel point in the negative film image with different exposure time by using a traversal algorithm, and determining the blackness value of the corresponding exposure time according to the corresponding curve of the gray value corresponding to the gray and blackness of the negative film image with different exposure time;
the sequencing module is used for sequencing the blackness values according to the positions of the pixel points of the blackness values on the original negative film image to obtain a blackness map;
and the conversion module is used for converting the blackness value in the blackness map into a gray value to obtain a complete picture.
5. The full-scale blackness film image digitizing system of claim 4, wherein the determining module comprises:
judging each pixel point in the first negative image by using a traversal algorithm, and if the gray value of the pixel point is smaller than or equal to the threshold value, using the gray value of the pixel point at the same position of the first negative image, and importing the blackness value corresponding to the first exposure time; if the gray value of the pixel point is larger than the threshold value, the gray value of the pixel point at the same position of the second negative image is used, and the blackness value corresponding to the second exposure time is imported.
6. The full-scale blackness film image digitizing system of claim 5, wherein the conversion module comprises:
and calculating a gray value according to the blackness and gray formula to obtain an optimized complete picture.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 3 when the computer program is executed by the processor.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that the computer program
The steps of the method of any of claims 1 to 3 when executed by a processor.
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| CN102542532A (en) * | 2010-12-20 | 2012-07-04 | 苏州科力迪软件技术有限公司 | Image enhancement method applicable to digital images of industrial radiographic inspection film |
| CN115615551A (en) * | 2022-09-30 | 2023-01-17 | 中核核电运行管理有限公司 | Method for measuring and calculating blackness value of digital radiographic negative |
| CN115760653A (en) * | 2023-01-09 | 2023-03-07 | 武汉中导光电设备有限公司 | Image correction method, device, equipment and readable storage medium |
| CN115942124A (en) * | 2022-12-08 | 2023-04-07 | 西安交通大学 | Large blackness range industrial radiographic film digitalizing method, system, medium and equipment |
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| US11353845B2 (en) * | 2016-11-17 | 2022-06-07 | Beijing University Of Technology | Model-adaptive multi-source large-scale mask projection 3D printing system |
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| CN102542532A (en) * | 2010-12-20 | 2012-07-04 | 苏州科力迪软件技术有限公司 | Image enhancement method applicable to digital images of industrial radiographic inspection film |
| CN115615551A (en) * | 2022-09-30 | 2023-01-17 | 中核核电运行管理有限公司 | Method for measuring and calculating blackness value of digital radiographic negative |
| CN115942124A (en) * | 2022-12-08 | 2023-04-07 | 西安交通大学 | Large blackness range industrial radiographic film digitalizing method, system, medium and equipment |
| CN115760653A (en) * | 2023-01-09 | 2023-03-07 | 武汉中导光电设备有限公司 | Image correction method, device, equipment and readable storage medium |
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