CN112257718A - Text recognition method and device for radiology department films - Google Patents
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Abstract
The embodiment of the invention discloses a text recognition method and a text recognition device for a radiology film, wherein the text recognition method comprises the following steps: acquiring a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording identification feature codes corresponding to each target character of a text on the target identification picture; positioning and segmenting the text on the target identification picture to obtain all and complete target characters in the target identification picture and a corresponding target character position of each target character on the target identification picture; and acquiring the identification feature code corresponding to each target character, and integrating all the target characters into a target identification text with the same text content as that on the target radiology film according to the identification feature code and the target character position. The invention can accurately and completely identify the text information of the radiology department film, and avoid serious medical accidents caused by identification errors.
Description
Technical Field
The invention relates to the technical field of text recognition, in particular to a text recognition method and device for a radiology film.
Background
Currently, OCR (Optical Character Recognition) refers to a process in which an electronic device (e.g., a scanner or a digital camera) checks a Character printed on paper, determines its shape by detecting dark and light patterns, and then translates the shape into a computer text by a Character Recognition method; the method is a technology for converting characters in a paper document into an image file with a black-white dot matrix in an optical mode aiming at print characters, and converting the characters in the image into a text format through recognition software for further editing and processing by word processing software. How to debug or use auxiliary information to improve recognition accuracy is the most important issue of OCR, and the term of icr (intelligent Character recognition) is generated accordingly. The main indicators for measuring the performance of an OCR system are: the method comprises the following steps of refusing recognition rate, error recognition rate, recognition speed, user interface friendliness, product stability, usability, feasibility and the like. The existing OCR recognition accuracy rate cannot reach one hundred percent, and the OCR recognition method cannot be applied to the medical industry. Because the radiology department film does not contain the unique patient number when printing the film file, if the unique patient number is printed, the film needs to be identified, the image of the radiology department film generally contains the patient information, and the patient information on the image needs to be identified and extracted through the technology, but the identification error of the prior art can cause serious medical accidents.
Disclosure of Invention
Accordingly, there is a need for a method and an apparatus for text recognition of radiology film to accurately and completely recognize text information of radiology film, and avoid serious medical accidents caused by recognition errors.
The first technical scheme of the embodiment of the invention is as follows:
a method of text recognition on radiology film, comprising: acquiring a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording identification feature codes corresponding to each target character of a text on the target identification picture; positioning and segmenting the text on the target identification picture to obtain all and complete target characters in the target identification picture and a corresponding target character position of each target character on the target identification picture; and acquiring an identification feature code corresponding to each target character, and integrating all the target characters into a target identification text with the same text content as that on the target radiology film according to the identification feature codes and the positions of the target characters.
The second technical scheme of the embodiment of the invention is as follows:
a text recognition apparatus for radiology films, comprising: the film preprocessing module is used for acquiring a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording identification feature codes corresponding to each target character of a text on the target identification picture; the positioning and dividing module is used for positioning and dividing the text on the target identification picture to obtain all and complete target characters in the target identification picture and target character positions corresponding to the target characters on the target identification picture; and the text recognition module is used for acquiring the recognition feature code corresponding to each target character and integrating all the target characters into a target recognition text with the same text content as that on the target radiology film according to the recognition feature code and the target character position.
The third technical scheme of the embodiment of the invention is as follows:
a computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of:
acquiring a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording identification feature codes corresponding to each target character of a text on the target identification picture; positioning and segmenting the text on the target identification picture to obtain all and complete target characters in the target identification picture and a corresponding target character position of each target character on the target identification picture; and acquiring an identification feature code corresponding to each target character, and integrating all the target characters into a target identification text with the same text content as that on the target radiology film according to the identification feature codes and the positions of the target characters.
The fourth technical scheme of the embodiment of the invention is as follows:
a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
acquiring a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording identification feature codes corresponding to each target character of a text on the target identification picture; positioning and segmenting the text on the target identification picture to obtain all and complete target characters in the target identification picture and a corresponding target character position of each target character on the target identification picture; and acquiring an identification feature code corresponding to each target character, and integrating all the target characters into a target identification text with the same text content as that on the target radiology film according to the identification feature codes and the positions of the target characters.
The embodiment of the invention has the following beneficial effects:
the method comprises the steps of obtaining a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to be identified to obtain a target identification picture, positioning and dividing a text on the target identification picture to obtain all complete target characters in the target identification picture and target character positions of the target characters on the target identification picture, finally obtaining identification feature codes corresponding to the target characters, integrating all the target characters into the target identification text with the same content as the text on the target radiology film according to the identification feature codes and the target character positions, accurately and completely identifying text information of the radiology film, and avoiding serious medical accidents caused by identification errors.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
FIG. 1 is a flow diagram illustrating the implementation of one embodiment of a method for text recognition on radiology films in accordance with one embodiment;
FIG. 2 is a block diagram of an embodiment of a text recognition apparatus for radiology film in one embodiment;
FIG. 3 is a block diagram illustrating an embodiment of a computer device in one embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart illustrating an implementation of a text recognition method for a radiology film according to an embodiment, and referring to fig. 1, the text recognition method for a radiology film according to the embodiment includes the following steps:
step S101: the method comprises the steps of obtaining a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording identification feature codes corresponding to target characters of a text on the target identification picture one by one.
The characters comprise characters, letters, numbers and the like, each character can only correspond to one feature code, when one character cannot be identified through a machine, the character can be manually identified, the feature code corresponding to the character is manually found, and then the feature code is recorded into the character.
Step S102: and positioning and segmenting the text on the target identification picture to obtain all and complete target characters in the target identification picture and the corresponding target character position of each target character on the target identification picture.
Step S103: and acquiring an identification feature code corresponding to each target character, and integrating all the target characters into a target identification text with the same text content as that on the target radiology film according to the identification feature codes and the positions of the target characters.
In this embodiment, optionally, the acquiring a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording an identification feature code corresponding to each character of a text on the target identification picture, includes:
firstly, acquiring a target binarization parameter threshold value matched with a film picture corresponding to a target radiology film to be identified, wherein the target binarization parameter threshold value is an empirical threshold value, and the film picture is finally processed as a black-and-white picture no matter what color the film picture is, namely after the target binarization parameter threshold value is set, the target binarization parameter threshold value is used as a standard, wherein colors larger than the target binarization parameter threshold value are converted into white colors, and colors lower than the target binarization parameter threshold value are converted into black colors, so that the final result is that a black-and-white picture is obtained.
Secondly, performing binarization processing on the target radiology department film according to the target binarization parameter threshold value to obtain a first intermediate identification picture with black background color and white text color. The image binarization is to set the gray value of a pixel point on an image to be 0 or 255, that is, the whole image presents an obvious black-and-white effect.
Thirdly, in order to facilitate text recognition, color turning processing is carried out on the intermediate recognition picture, and a second intermediate recognition picture with white background color and black text color is obtained.
Fourthly, according to the one-to-one correspondence rule of the character-feature codes, each identification feature code is recorded into the corresponding target character, and the target identification picture is obtained. Each character corresponds to one feature code, and the characters correspond to the feature codes one by one.
In this embodiment, optionally, the positioning and segmenting the text on the target recognition picture to obtain all and complete target characters in the target recognition picture and a target character position corresponding to each target character on the target recognition picture includes:
firstly, acquiring the number of horizontal texts and the number of columns of texts corresponding to the texts on the target identification picture.
Secondly, calculating the number of rows and the number of columns of each target character on the target recognition picture according to the number of horizontal lines and the number of columns of the text, and obtaining the position of each target character corresponding to each target character on the target recognition picture.
Thirdly, transversely cutting the target recognition picture to obtain a plurality of lines of target transverse texts, and longitudinally cutting each line of the target transverse texts to obtain all and complete target characters in the target recognition picture.
In this embodiment, optionally, the obtaining the identification feature code corresponding to each target character includes:
scanning the target identification picture, extracting an identification feature code corresponding to each target character on the target identification picture, and taking the identification feature code as the identification feature code.
In this embodiment, optionally, the acquiring an identification feature code corresponding to each target character, and integrating all the target characters into a target identification text having the same text content as that on the target radiology film according to the identification feature code and the target character position includes:
firstly, matching the identification feature code corresponding to each target character with all feature codes of a preset feature code database to obtain a target feature code matched with each identification feature code.
Secondly, acquiring each target characteristic character corresponding to each target characteristic code one to one, and obtaining a target corresponding relation between each target characteristic character and each target character position according to each target character and the target character position corresponding to the target character.
Thirdly, according to the target corresponding relation, all the target characteristic characters are integrated into the target identification text with the same text content as that on the target radiology film.
The preset feature code database is a preset database for storing feature codes, and each feature code corresponds to one character.
In this embodiment, optionally, before the target identification picture is obtained after preprocessing the target radiology film to be identified, the method includes:
firstly, whether the acquired text on the target radiology film to be identified can be completely identified is judged.
Secondly, if the acquired text on the target radiology film to be identified can not be completely identified, preprocessing the target radiology film, and otherwise, directly identifying the text on the target radiology film.
In this embodiment, optionally, the integrating all the target characters into a target identification text having the same text content as that on the target radiology film includes:
and storing the target recognition text to a first designated address, and sending the target recognition text to the designated address for related staff to view.
As shown in fig. 2, in another embodiment, a device 100 for text recognition on radiology film is provided, and as can be obtained by referring to fig. 2, the device 100 for text recognition on radiology film specifically includes:
the film preprocessing module 10 is configured to acquire a film picture corresponding to a target radiology film to be identified, preprocess the film picture to obtain a target identification picture, and record an identification feature code corresponding to each target character of a text on the target identification picture.
The characters comprise characters, letters, numbers and the like, each character can only correspond to one feature code, when one character cannot be identified through a machine, the character can be manually identified, the feature code corresponding to the character is manually found, and then the feature code is recorded into the character.
And the positioning and dividing module 20 is configured to position and divide the text on the target identification picture to obtain all and complete target characters in the target identification picture and a target character position corresponding to each target character on the target identification picture.
A text recognition module 30, configured to obtain a recognition feature code corresponding to each target character, and integrate all the target characters into a target recognition text having the same text content as that on the target radiology film according to the recognition feature code and the target character position.
FIG. 3 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be a terminal, and may also be a server. As shown in fig. 3, the computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program that, when executed by the processor, causes the processor to implement a method of text recognition on a radiology film. The internal memory may also have stored therein a computer program that, when executed by the processor, causes the processor to perform a method of text recognition on a radiology film. Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In another embodiment, a computer device is presented, comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
acquiring a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording identification feature codes corresponding to each target character of a text on the target identification picture; positioning and segmenting the text on the target identification picture to obtain all and complete target characters in the target identification picture and a corresponding target character position of each target character on the target identification picture; and acquiring an identification feature code corresponding to each target character, and integrating all the target characters into a target identification text with the same text content as that on the target radiology film according to the identification feature codes and the positions of the target characters.
In another embodiment, a computer-readable storage medium is proposed, in which a computer program is stored which, when executed by a processor, causes the processor to carry out the steps of:
acquiring a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording identification feature codes corresponding to each target character of a text on the target identification picture; positioning and segmenting the text on the target identification picture to obtain all and complete target characters in the target identification picture and a corresponding target character position of each target character on the target identification picture; and acquiring an identification feature code corresponding to each target character, and integrating all the target characters into a target identification text with the same text content as that on the target radiology film according to the identification feature codes and the positions of the target characters.
The method comprises the steps of obtaining a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to be identified to obtain a target identification picture, positioning and dividing a text on the target identification picture to obtain all complete target characters in the target identification picture and target character positions of the target characters on the target identification picture, finally obtaining identification feature codes corresponding to the target characters, integrating all the target characters into the target identification text with the same content as the text on the target radiology film according to the identification feature codes and the target character positions, accurately and completely identifying text information of the radiology film, and avoiding serious medical accidents caused by identification errors.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of text recognition on radiology film, comprising:
acquiring a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording identification feature codes corresponding to each target character of a text on the target identification picture;
positioning and segmenting the text on the target identification picture to obtain all and complete target characters in the target identification picture and a corresponding target character position of each target character on the target identification picture;
and acquiring an identification feature code corresponding to each target character, and integrating all the target characters into a target identification text with the same text content as that on the target radiology film according to the identification feature codes and the positions of the target characters.
2. The method for recognizing texts on radiology films according to claim 1, wherein the acquiring a film picture corresponding to a target radiology film to be recognized, preprocessing the film picture to obtain a target recognition picture, and each character of a text on the target recognition picture is recorded with a recognition feature code corresponding to the character, and the method comprises:
acquiring a target binarization parameter threshold value matched with the target radiology film to be identified;
carrying out binarization processing on the target radiology department film according to the target binarization parameter threshold value to obtain a first intermediate identification picture with black background color and white text color;
carrying out color turning processing on the intermediate identification picture to obtain a second intermediate identification picture with white background color and black text color;
and according to the one-to-one correspondence rule of the character-feature codes, recording each identification feature code into the corresponding target character to obtain the target identification picture.
3. The method of claim 1, wherein the locating and segmenting the text on the target recognition picture to obtain all and complete target characters in the target recognition picture and corresponding target character positions of each target character on the target recognition picture comprises:
acquiring the number of text rows and the number of text columns corresponding to the text on the target identification picture;
calculating the number of rows and the number of columns of each target character on the target identification picture according to the number of horizontal lines and the number of columns of the text to obtain the position of each target character corresponding to the target character on the target identification picture;
and transversely cutting the target identification picture to obtain a plurality of lines of target transverse texts, and longitudinally cutting each line of the target transverse texts to obtain all and complete target characters in the target identification picture.
4. The method of claim 1, wherein the obtaining of the identification feature code corresponding to each target character comprises:
scanning the target identification picture, extracting an identification feature code corresponding to each target character on the target identification picture, and taking the identification feature code as the identification feature code.
5. The method of claim 1, wherein the obtaining of the identification feature code corresponding to each target character and the integrating of all the target characters into the target identification text having the same text content as that on the target radiology film according to the identification feature code and the target character position comprises:
matching the identification feature code corresponding to each target character with all feature codes of a preset feature code database to obtain target feature codes matched with the identification feature codes;
acquiring target characteristic characters corresponding to the target characteristic codes one by one, and obtaining a target corresponding relation between each target characteristic character and each target character position according to each target character and the target character position corresponding to the target character;
according to the target corresponding relation, integrating all the target characteristic characters into the target identification text with the same text content on the target radiology film;
and a character-feature code corresponding table in which characters and feature codes are in one-to-one correspondence is arranged in the preset feature code database.
6. The method for text recognition of radiology film according to claim 1, wherein before preprocessing the target radiology film to be recognized to obtain the target recognition picture, the method comprises:
judging whether the acquired text on the target radiology film to be identified can be completely identified;
if not, preprocessing the target radiology department film, otherwise, directly identifying the text on the target radiology department film.
7. The method of claim 1, wherein the integrating all the target characters into the target recognition text having the same text content as the target radiology film comprises:
and storing the target recognition text to a first designated address, and sending the target recognition text to the designated address for related staff to view.
8. A text recognition apparatus for radiology film, comprising:
the film preprocessing module is used for acquiring a film picture corresponding to a target radiology film to be identified, preprocessing the film picture to obtain a target identification picture, and recording identification feature codes corresponding to each target character of a text on the target identification picture;
the positioning and dividing module is used for positioning and dividing the text on the target identification picture to obtain all and complete target characters in the target identification picture and target character positions corresponding to the target characters on the target identification picture;
and the text recognition module is used for acquiring the recognition feature code corresponding to each target character and integrating all the target characters into a target recognition text with the same text content as that on the target radiology film according to the recognition feature code and the target character position.
9. A computer-readable storage medium, characterized in that a computer program is stored which, when being executed by a processor, causes the processor to carry out the steps of the method for text recognition on radiology films according to any one of claims 1 to 7.
10. A computer arrangement, characterized by comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of the method of text recognition on radiology films according to any one of claims 1 to 7.
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