CN110544222A - Visual transmission image sharpening processing method and system - Google Patents
Visual transmission image sharpening processing method and system Download PDFInfo
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- CN110544222A CN110544222A CN201910838496.2A CN201910838496A CN110544222A CN 110544222 A CN110544222 A CN 110544222A CN 201910838496 A CN201910838496 A CN 201910838496A CN 110544222 A CN110544222 A CN 110544222A
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- 230000000007 visual effect Effects 0.000 title claims abstract description 19
- 230000005540 biological transmission Effects 0.000 title claims abstract description 13
- 238000003707 image sharpening Methods 0.000 title claims description 14
- 238000003672 processing method Methods 0.000 title claims description 6
- 238000000034 method Methods 0.000 claims abstract description 20
- 238000001914 filtration Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005352 clarification Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5846—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using extracted text
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G06F16/5854—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using shape and object relationship
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
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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
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- G06T2207/20084—Artificial neural networks [ANN]
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Abstract
a method for processing the clear visual transmission image includes such steps as dividing the characters in electronic image equally to form multiple groups of sub-area data. By comparing the sub-region data of each character region in the electronic image with the corresponding sub-region data of the characters in the database, selecting the most characters stored in the database with the same number as the sub-region data of the character region as the characters of the corresponding character region, and then storing and displaying the selected characters and the corresponding character region on the display panel. And then the character content is clearly displayed through the display panel.
Description
Technical Field
The invention relates to the technical field of visual image processing, in particular to a method and a system for processing a visual transmission image in a clear mode.
Background
The character vestige is one of ancient heritage culture vestige, belongs to widely known and concerned types of vestige, and is an important channel for understanding the known history of people. Many character vestiges can take part in exhibition after going out of the earth, so as to popularize historical culture and provide cultural relics to learn and study. However, due to the time problem, many character remnants are accompanied by loss or damage after earthed, thereby affecting the real interpretation history of people. Meanwhile, the contents of some written ancient writing are not easy to see, such as inscriptions. Therefore, in the prior art, exhibitors can restore the ancient writing so as to be convenient for people to watch and study, and how to clearly present the content of the written historical relics before the world people becomes the technical problem to be solved by the existing cultural relic exhibitors.
Disclosure of Invention
The invention aims to provide a method for processing a visual transmission image in a clear way, which can clearly present the contents of the characters and the ancient trails in an electronic image way.
The above object of the present invention is achieved by the following technical solutions:
A visual transmission image sharpening processing method comprises the following steps:
Step 1: collecting an electronic image of the article;
step 2: processing the electronic image through convolution operation and deconvolution operation to generate an intermediate image;
And step 3: filtering the damaged area in the intermediate image to generate an image to be processed;
and 4, step 4: adding a rectangular standard frame surrounding the character area and a maximum rectangular frame with the largest range in the standard frames to each character area, wherein diagonal positions of the standard frames and the maximum rectangular frame are overlapped;
And 5: performing standard division on each maximum rectangular frame to form at least 12 sub-areas with equal size;
step 6: calling database information, comparing the sub-region data of each character region with the corresponding sub-region data of the characters in the database, and selecting the most characters stored in the database with the same number as the sub-region data of the character region as the characters of the corresponding character region;
And 7: and (4) storing and displaying the characters selected in the step (6) and the corresponding character areas on a display panel.
By adopting the technical scheme, the convolution operation and the deconvolution operation realize the deep processing of the text contents in the image, after the damaged area is filtered and adjusted, only the text contents are left in the image, the frame selection of each text content can be realized by setting a rectangular frame, the text can be divided into a plurality of sub-areas by matching with standard division, and if the contents of all the sub-areas of a single text area are the same as the data of the corresponding sub-areas pre-stored in the database, the text area contents are proved to be the text pre-stored in the database. And then the character content is clearly displayed through the display panel. Meanwhile, if partial characters are incomplete due to the fact that the article to be detected is incomplete, the residual content of the incomplete characters is compared with the content of a database of a corresponding subarea of prestored characters in the database, the prestored characters with the same quantity and the largest quantity of subarea data are selected as identification characters, and therefore completion of the incomplete characters of the article to be detected is achieved, and the characters and the ancient trace content are cleaned and displayed in an electronic image mode. When the database information is selected, the corresponding character database such as a handwriting of Fuxi and a sushi can be selected according to the character style displayed by the cultural relic to be tested.
As an improvement of the invention, the database information is provided in plurality according to the calligraphy types.
By adopting the technical scheme, the type of character recognition can be provided.
As an improvement of the present invention, in step 7, the selecting a word processing mode further includes:
when the number of the characters stored in the database which is the same as the sub-area data of the character area and has the largest quantity is one, selecting the corresponding pre-stored character as the selected character;
when the number of the characters stored in the database with the same sub-area data and the largest number in the character area is more than one, all the characters with the same sub-area data are stored and displayed on the display panel, and the characters are selected in a manual screening mode.
By adopting the technical scheme, because a public screening mode is added, the character and historic site contents can be more clearly displayed, and errors in the electronic identification process are avoided.
as an improvement of the present invention, in the step 4, the text area in the image to be processed is extracted through an area recommendation network.
As a refinement of the present invention, said step 1 comprises the steps of:
Step 1-1: controlling the inclination angle between the light source and the object to be measured to meet the preset requirement; step 1-2: performing rotation control on the light source; step 1-3: adjusting the brightness of the light source; step 1-4: and carrying out rotation control on the object to be measured.
As a refinement of the present invention, said step 2 comprises the steps of:
step 2-1: carrying out first processing on the acquired image through convolution operation to obtain a characteristic diagram;
Step 2-2: and carrying out second processing on the characteristic graph through deconvolution operation to obtain the intermediate image.
By adopting the technical scheme, the convolution operation and the deconvolution operation can make the edges and corners of the image more distinct, and the image is cleaned, thereby providing a technical basis for filtering damaged areas of the image.
Another object of the present invention is to provide a visual transmission image sharpening processing system which can present the contents of the ancient writing clearly in an electronic image manner.
The above object of the present invention is achieved by the following technical solutions:
a visual presentation image sharpening processing system, comprising:
The image acquisition module is used for photographing a to-be-detected object and generating an electronic image; at least one processor; at least one memory for storing at least one program;
When the program is executed by the processor, the processor realizes steps 2 to 7 in the visual transmission image sharpening processing method as described above.
By adopting the technical scheme, the image acquisition module realizes acquisition of electronic images, the storage of programs is realized by the arrangement of the storage, and the arrangement of the processor and the programs in the storage realize the processing of the visual transmission image clarification processing method on the character ancient writing images, so that the character ancient writing contents are presented clearly in an electronic image mode.
As an improvement of the invention, the image acquisition module comprises a shooting table for placing the object to be measured, a sidelight for lighting the sidelight of the object to be measured and a binocular camera for acquiring the image of the object to be measured.
Through adopting above-mentioned technical scheme, throw light on to the characters historical relic through the sidelight, avoided the strong reflection of direct light for electronic image obtains more clearly.
In conclusion, the beneficial technical effects of the invention are as follows:
Because the character region is subjected to standard division, and the character recognition is realized by comparing the sub-regions, the recognition of the complete character is realized, and the data support is provided for the recovery of the incomplete character in the later period, thereby being beneficial to the clear display of the character ancient writing.
drawings
FIG. 1 is a simplified view of the internal structure of an image acquisition box;
FIG. 2 is a system diagram of a visual presentation image sharpening processing system;
FIG. 3 is a flow chart of a method of visual communication image sharpening processing;
FIG. 4 is an exemplary diagram of different equipartition of pre-stored words in a database by an equipartition model.
In the figure, 1, an image acquisition module; 11. side light lamps; 12. a shooting table; 13. a rotating electric machine; 14. a binocular camera; 2. a collection box.
Detailed Description
the present invention will be described in further detail with reference to the accompanying drawings.
referring to fig. 1 and 2, a visual transmission image sharpening processing system disclosed in the present invention includes an image acquisition module 1, a processor and a memory. The image acquisition module comprises a shooting table 12 for placing a measured object, a sidelight 11 for lighting the sidelight of the measured object and a binocular camera 14 for acquiring an image of the measured object.
Referring to fig. 1, the camera table 12, the sidelight 11 and the binocular camera 14 are all disposed in an image collection box 2, wherein the lower portion of the camera table 12 is fixedly connected to the bottom of the collection box 2 through a rotating motor 13. The horizontal angle of the shooting table 12 can be adjusted in the working process of the rotating motor 13. The sidelight lamps 11 are at least four and are located on four side walls of the rectangular image collection box 2, preferably four, in this embodiment, and the four sidelight lamps 11 are respectively arranged on the four side walls of the image collection box 2.
The four side walls of the image acquisition box 2 are provided with vertical slideways, and the sidelight 11 positioned on the corresponding side wall is respectively connected with the corresponding slideways in a sliding manner. During use, the position of the sidelight lamp 11 can be adjusted by sliding the sidelight lamp 11. Preferably, the slideway is provided with a vertical cylindrical rod, and the sidelight 11 is fixed at the corresponding position of the slideway through the friction force between the sidelight and the cylindrical rod.
Referring again to fig. 1 and 2, the memory is used for storing programs, and the processor controls the rotating motor 13, the sidelight 11 and the binocular camera 14 to work according to the stored programs in the memory. In this embodiment, the number of the memory and the number of the processors are not limited, and here, one processor and one memory are preferred, and the processor is preferably an embedded single chip microcomputer.
the processor is also connected with a display panel which is set as a liquid crystal screen. The images captured by the binocular camera 14 are processed by the processor and displayed on the liquid crystal screen.
Referring to fig. 3 again, the image sharpening method based on the above-mentioned visual transmission image sharpening processing system disclosed in this embodiment specifically includes the following steps.
step 1: an electronic image of the article is collected.
Step 1-1: and controlling the inclination angle between the light source and the object to be measured to meet the preset requirement. By adjusting the height of the sidelight 11, the angle between the sidelight 11 and the shooting table 12 is adjusted, so that when the sidelight 11 irradiates an article on the shooting table 12, the article cannot be reflected by strong light to affect the collection of images.
Step 1-2: the light source is rotationally controlled.
the control of the light source here is an adjustment of the irradiation position of the light source. By passing through different positions of the object irradiated by the sidelight 11, strong reflection generated when the object is directly irradiated by a light source is further avoided.
Step 1-3: the light source is light-modulated.
The adjustment of the light source here comprises an adjustment of the brightness of the light source as well as an adjustment of the color of the light source. The illumination of different articles can be realized by adjusting the brightness of the light source; the adjustment of the color of the light source can realize the highlighting of characters in articles with different colors.
step 1-4: and carrying out rotation control on the object to be measured. According to the position of the article to be shot, the processor controls the rotating motor 13 to work, so that the article is horizontally rotated. After the article rotates, the processor controls the binocular camera 14 to acquire an image of the article, and an electronic image is generated.
step 2: the electronic image is processed by a convolution operation and a deconvolution operation to generate an intermediate image. Comprises the following steps of 2-1: carrying out first processing on the acquired image through convolution operation to obtain a characteristic diagram; step 2-2: and carrying out second processing on the characteristic diagram through deconvolution operation to obtain an intermediate image.
The intermediate image processed in the step 2 has high color depth of displayed content and clear content, and the damaged area in the article is displayed more clearly, so that the damaged area is deleted favorably.
And step 3: and filtering the damaged area in the intermediate image to generate the image to be processed.
the method of filtering the damaged area is not limited herein, and the method of filtering the irregular pattern is within the scope of the description of the present embodiment. Here, it is preferable that the damaged area in the intermediate image is selected by manual selection. Because the electronic identification mode has low identification precision in the electronic image, the manual screening mode can improve the reliability of image filtering to a certain extent.
And 4, step 4: and adding a standard box of a rectangle surrounding the character area and a maximum rectangular box with the largest range in the standard boxes to each character area, wherein the diagonal positions of the standard boxes and the maximum rectangular box are superposed.
Firstly, character areas in an image to be processed are extracted through an area recommendation network, and then a minimum rectangular frame surrounding the character areas is added to each character area. The largest rectangular box with the largest range in the rectangular boxes is selected by the processor, and the largest rectangular box is added to the outside of each character, and the diagonal lines of the largest rectangular box and the smallest rectangular box are overlapped.
and 5: and performing standard division on each maximum rectangular frame to form at least 12 sub-areas with equal size.
The average value is first set by the staff member in advance through the processor. Here, the average value is preferably 12, that is, the text area is divided into 12 standard areas.
Step 6: and calling database information, comparing the sub-region data of each character region with the corresponding sub-region data of the characters in the database, and selecting the most characters stored in the database with the same number as the sub-region data of the character region as the characters of the corresponding character region.
Here, the database information is provided in plural according to the kind of calligraphy. Before the staff collects the images, the calligraphy types are selected through the processor to limit the types of the characters, and the staff is not limited to add other types of limits such as character authors and the like. And after the processor selects the maximum rectangular frame, setting an equipartition model by the processor according to the maximum rectangular frame and the equipartition value. Referring to fig. 4, in the process of data comparison, in the process of identifying each character, the equipartition model is superimposed on the corresponding character of the database information, multiple groups of equipartition data corresponding to each character are formed by changing the position of the character, each equipartition data corresponds to one sub-region, and four groups of equipartition forms under the condition of 12 equipartition are only displayed in the graph, wherein the position of the character is changed into at least one horizontal pixel point or one vertical pixel point each time according to the size of the maximum rectangular frame, and the character does not exceed the range of the equipartition model. And in the data comparison process, sequentially comparing each equipartition data of each character with the sub-region data formed after division in the step 5.
And 7: and (6) storing and displaying the characters selected in the step 6 and the corresponding character areas on the liquid crystal screen.
When the number of the characters stored in the database is one, the number of the characters is the same as that of the sub-area data of the character area, and the number of the characters is the largest, selecting the corresponding pre-stored characters as the selected characters; when the number of the characters stored in the database with the same sub-area data and the largest number in the character area is more than one, all the characters with the same sub-area data are stored and displayed on the display panel, and the characters are selected in a manual screening mode.
From the above, by dividing the text into regions, the region comparison between the image text and the pre-stored text in the database is realized, and the recognition of the image text is realized. The method not only realizes the identification of the complete characters, but also can identify the incomplete characters to a certain extent, thereby reducing the workload of restoring the character vestige and realizing the digital intelligent clear identification of the character vestige.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (8)
1. A method for processing a visual transmission image for sharpening, comprising: the method comprises the following steps:
step 1: collecting an electronic image of the article;
Step 2: processing the electronic image through convolution operation and deconvolution operation to generate an intermediate image;
and step 3: filtering the damaged area in the intermediate image to generate an image to be processed;
And 4, step 4: adding a minimum rectangular frame surrounding the character area to each character area;
And 5: performing standard division on the rectangular frame to form at least 12 sub-areas with equal size;
step 6: calling database information, comparing the sub-region data of each character region with the corresponding sub-region data of the characters in the database, and selecting the most characters stored in the database with the same number as the sub-region data of the character region as the characters of the corresponding character region;
and 7: and (4) storing and displaying the characters selected in the step (6) and the corresponding character areas on a display panel.
2. the method as claimed in claim 1, wherein the database information is provided in plurality according to the kind of calligraphy.
3. The method of claim 2, wherein the selecting a word processing mode in step 7 further comprises:
when the number of the characters stored in the database which is the same as the sub-area data of the character area and has the largest quantity is one, selecting the corresponding pre-stored character as the selected character;
When the number of the characters stored in the database with the same sub-area data and the largest number in the character area is more than one, all the characters with the same sub-area data are stored and displayed on the display panel, and the characters are selected in a manual screening mode.
4. The method as claimed in claim 1, wherein in step 4, the text area in the image to be processed is extracted through an area recommendation network.
5. the method according to claim 4, wherein the step 1 comprises the following steps:
step 1-1: controlling the inclination angle between the light source and the object to be measured to meet the preset requirement;
Step 1-2: performing rotation control on the light source;
Step 1-3: adjusting the brightness of the light source;
Step 1-4: and carrying out rotation control on the object to be measured.
6. a method for sharpening a visually conveyed image according to claim 1, wherein said step 2 comprises the steps of:
Step 2-1: carrying out first processing on the acquired image through convolution operation to obtain a characteristic diagram;
step 2-2: and carrying out second processing on the characteristic graph through deconvolution operation to obtain the intermediate image.
7. a visual presentation image sharpening processing system, comprising: the image acquisition module (1) is used for photographing a to-be-detected object and generating an electronic image; at least one processor; at least one memory for storing at least one program; when the program is executed by the processor, the processor realizes steps 2 to 7 in the visual communication image sharpening processing method according to any one of claims 1 to 6.
8. the visual transmission image sharpening processing system according to claim 7, wherein the image acquisition module (1) comprises a shooting table (12) for placing the object to be measured, a sidelight (11) for sidelight of the object to be measured, and a binocular camera (14) for acquiring the image of the object to be measured.
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Cited By (1)
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