CN112967166A - OpenCV-based automatic image watermark identification processing method and system - Google Patents
OpenCV-based automatic image watermark identification processing method and system Download PDFInfo
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Abstract
The invention belongs to the technical field of computer vision, in particular to an openCV (open code constant value) based automatic image watermark identification processing method and system, which comprises an identification processing method, wherein the identification processing method comprises the following core steps: establishing a picture shadow operation model, requiring that the resolution ratio of the picture is the same and the format is the same, taking the input parameter as two pictures with the same watermark, taking the output parameter as a matrix with the same resolution ratio as the input parameter, carrying out a precondition on the algorithm, firstly carrying out transparentization treatment on the background color, then carrying out graying treatment on the pictures, carrying out a core algorithm, firstly carrying out difference taking on two picture matrixes, then subtracting the absolute value from 255 to obtain a calculation result, and not carrying out calculation on dark pixels; the method directly extracts the pictures to be processed through an algorithm, and the picture classification can also be automatically processed through a crawler program; the gray level image is used in the algorithm for watermark positioning, and the rgb value is used for image watermark extraction, so that the accuracy of watermark image pixel extraction is ensured to the greatest extent.
Description
Technical Field
The invention relates to the technical field of computer vision, in particular to an openCV (open code converter circuit) -based automatic image watermark identification processing method and system.
Background
With the continuous development and growth of company e-commerce business, when the platform is in erp butt joint with each supplier, a large amount of butt joint product information, particularly commodity picture information, is needed for the first time, and the suppliers often upload commodity pictures sold on other platforms to cause the problem of company product compliance; in addition, the foundation base construction of the company also needs to check whether the pictures have watermarks in batches, and needs to remove the watermarks in batches, and the company also tries to repair the watermark pictures manually, but the workload is huge.
Through retrieval, a patent with a Chinese patent publication number of CN108109124A discloses a method for repairing a watermark of an image with an indeterminate position based on deep learning, which is characterized by comprising the following steps: collecting and preprocessing training data; training the watermark segmentation model and filling the watermark area. The invention has the advantages that: the machine replaces manpower, so that the cost is saved and the manpower is liberated; the operation is more standardized, and the manual work is avoided; compared with a simple watermark repairing technology, the method can automatically find the watermark position.
The above patent also has the following disadvantages: the method comprises the following steps that a large number of pictures with watermarks need to be manually preprocessed, watermark templates need to be manually marked and extracted for model training, and the workload of manual processing is huge; the gray level and binarization processing are used in the algorithm, so that the quality of template pixels is lost, the watermark cannot be cleaned completely, and the watermark has marks; in a normal watermark removing scene, the original image without watermark is difficult to obtain, and especially the original image cannot be obtained according to the watermark removing requirement of massive pictures.
Disclosure of Invention
Based on the technical problems that a large number of pictures with watermarks need to be manually preprocessed, watermark templates need to be manually marked and extracted and the like, the invention provides an openCV-based picture watermark automatic identification processing method and system.
An openCV-based automatic image watermark identification processing method comprises an identification processing method, and the identification processing method comprises the following core steps:
1) and establishing a picture shadow operation model, wherein the picture resolution is required to be the same, the format is required to be the same, the input parameter is two pictures with the same watermark, and the output parameter is a matrix with the same resolution as the input parameter. The algorithm precondition is that firstly, the background color is subjected to transparentization treatment, and then the picture is subjected to graying treatment. The core algorithm is that the difference between two image matrixes is firstly calculated to obtain an absolute value, then the absolute value is subtracted from 255 to obtain a calculation result, dark pixels are not calculated, the value of light pixels is directly obtained, and finally a pixel area close to the 255 value is a watermark area; under normal conditions, the identification rate of the pure-color watermark is high, the semitransparent watermark needs to be added with a jitter value range to be framed as the watermark, and the algorithm principle is as follows: by using the animation principle for reference, the watermark information with the same specification is equivalent to a stain on a lens, and the stain is more obvious under a shallow background;
2) the method comprises the steps of image classification preprocessing, wherein the images to be processed are classified according to channels and resolution, generally, the watermark contents of the images of the same website are the same, the positions are consistent, the image resolutions are the same, and the steps can be directly classified when a crawler acquires the images;
3) extracting watermark masking shadows, namely taking 10 or more image pictures with watermarks under the same classification, randomly taking one image as an operation object, then respectively carrying out step 1) operation with other images, obtaining the watermark masking shadows after the operation, continuously optimizing and testing parameters as to whether the mask shadow operation is successful or not, generally judging whether the operation is successful or not through distribution areas of 255 and a jitter value range, judging that the operation is successful when the distribution areas are smaller and larger than enough pixel points, and otherwise, continuously taking the image and carrying out the step 1) operation;
4) extracting an original watermark image through a shadow template, and extracting the brightest pixel after gray level operation in the image as much as possible through a shadow coverage area, wherein the RGB values are stored until the extracted pixel value is not changed, thereby indicating that the extraction is successful;
5) removing the image watermark through the original watermark image: the algorithm for removing the watermark adopts the inpaint algorithm of opencv, and the watermark picture can be well removed;
6) searching and positioning the watermark picture, performing step 1) operation on the watermark desired picture and the picture to be judged, performing mask area statistics, and performing ratio calculation according to the area in the ratio and the effective area (dark area does not need comparison, such as: black areas) and as a result more than 60% or more indicates a watermark.
Preferably, through the steps, the image watermark template is automatically and directly extracted from the image to be processed through an algorithm through the pre-classified image, and the image classification can also be automatically processed through a crawler program; the gray level image is used for watermark positioning in the algorithm, and rgb values are used for image watermark extraction, so that the accuracy of watermark image pixel extraction is ensured to the greatest extent, and meanwhile, the watermark can be removed more cleanly without leaving traces; according to the method, the original picture and the manual preprocessing picture are not required to be obtained, so that the labor cost can be greatly saved, the efficiency is improved, and the machine learning operation period is shortened.
The invention provides an openCV-based automatic image watermark identification processing system, which comprises an identification processing system, wherein a core function module of the identification processing system comprises: the system comprises a picture management module, a task management module, a watermark template management module, an algorithm management module, a system management module and an external service interface management module.
Preferably, the picture management module:
importing pictures in batches: importing the picture through a folder, automatically extracting the resolution of the picture during importing, and verifying the format of the picture; importing pictures in batches through url addresses, automatically performing region classification according to the url addresses, and importing the pictures with the files through other verification;
the imported pictures record operation logs according to batches;
managing the pictures in a classified manner: adding and maintaining picture areas, adding and maintaining picture classification information, carrying out picture screening management, and providing functions of manually screening and deleting pictures;
managing the image marking information;
marking static position information of the watermark: only one standard image is needed for the same type of image, and the operation efficiency and accuracy can be greatly improved by adding labels;
marking watermark dynamic position information: if the watermark positions are dynamically changed, the watermark positions of all the training pictures need to be marked, and then the dynamic positions are cut by a program;
browsing and downloading task pictures: and filtering and browsing processing results according to the task classification and the name.
Preferably, the task management module:
adding a task: selecting a processing algorithm and target parameters, defining tasks, and classifying general tasks according to the algorithm; the picture can be selected from an original picture, a picture processed by other tasks and a watermark template picture;
and (3) maintenance tasks: managing task execution condition management; task execution cycle management, single or periodic execution; and managing task input and output parameters.
Preferably, the watermark template management module includes: the method comprises the steps of template shadow picture management and picture editing, fine adjustment of a mask can be carried out, the shadow range is corrected, original watermark picture management and picture editing are carried out, and the watermark eliminating effect and the detection accuracy are improved by adjusting the picture.
Preferably, the algorithm management module: the algorithm management is a universal interface, the specific function is realized by registered classes, and the same algorithm can have a plurality of versions; and the algorithm management module specifically comprises: the method comprises the following steps of picture shadow operation model management, original watermark image extraction algorithm management, watermark check algorithm management, watermark elimination algorithm management, watermark mask shadow extraction algorithm management and picture background color transparent processing algorithm management.
Preferably, the system management module: system configuration parameter management, interface authority management and system log management.
Preferably, the external service interface management module uses a watermark template extracted by history, compares in batch, and comprises: a watermark detection interface and a watermark elimination interface.
The beneficial effects of the invention are as follows:
1. according to the method and the system for automatically identifying and processing the image watermark based on the openCV, through the realization of the invention, the system can automatically extract the watermark information through the image data of the crawler and realize watermark cleaning, and the watermark removing processing on the product images of main E-commerce websites such as Kyoto, Tianmao, pharmacy networks and the like is currently realized. Due to the successful research and development of the current system, whether the watermark detection exists in the picture is achieved instead of manual work, the automatic removal of the picture watermark by a supplier is facilitated, the investment of the art designing resources of companies is saved, the loophole can be avoided by the programmed operation, the task execution time is greatly shortened, and the labor cost is saved. Along with analyzing and extracting the watermark of all the operation website products on the market, the reliability of the algorithm can be continuously improved. Watermark retrieval and cleaning can be provided with services to the outside, and the traffic and the income are brought to the company.
2. According to the method and the system for automatically identifying and processing the image watermark based on the openCV, through the specific steps of the identification processing method, the image watermark template is automatically and directly extracted from the image to be processed through an algorithm through the pre-classified image, and the image classification can also be automatically processed through a crawler program; the gray level image is used for watermark positioning in the algorithm, and rgb values are used for image watermark extraction, so that the accuracy of watermark image pixel extraction is ensured to the greatest extent, and meanwhile, the watermark can be removed more cleanly without leaving traces; according to the method, the original picture and the manual preprocessing picture are not required to be obtained, so that the labor cost can be greatly saved, the efficiency is improved, and the machine learning operation period is shortened.
The parts of the device not involved are the same as or can be implemented using prior art.
Drawings
Fig. 1 is a schematic structural diagram of an openCV-based automatic image watermark identification processing method according to the present invention;
fig. 2 is a schematic structural diagram of an openCV-based automatic image watermark identification processing system according to the present invention.
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.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, an openCV-based automatic image watermark identification processing method includes an identification processing method, and the identification processing method includes the following core steps:
1) and establishing a picture shadow operation model, wherein the picture resolution is required to be the same, the format is required to be the same, the input parameter is two pictures with the same watermark, and the output parameter is a matrix with the same resolution as the input parameter. The algorithm precondition is that firstly, the background color is subjected to transparentization treatment, and then the picture is subjected to graying treatment. The core algorithm is that the difference between two image matrixes is firstly calculated to obtain an absolute value, then the absolute value is subtracted from 255 to obtain a calculation result, dark pixels are not calculated, the value of light pixels is directly obtained, and finally a pixel area close to the 255 value is a watermark area; under normal conditions, the identification rate of the pure-color watermark is high, the semitransparent watermark needs to be added with a jitter value range to be framed as the watermark, and the algorithm principle is as follows: by using the animation principle for reference, the watermark information with the same specification is equivalent to a stain on a lens, and the stain is more obvious under a shallow background;
2) the method comprises the steps of image classification preprocessing, wherein the images to be processed are classified according to channels and resolution, generally, the watermark contents of the images of the same website are the same, the positions are consistent, the image resolutions are the same, and the steps can be directly classified when a crawler acquires the images;
3) extracting watermark masking shadows, namely taking 10 or more image pictures with watermarks under the same classification, randomly taking one image as an operation object, then respectively carrying out step 1) operation with other images, obtaining the watermark masking shadows after the operation, continuously optimizing and testing parameters as to whether the mask shadow operation is successful or not, generally judging whether the operation is successful or not through distribution areas of 255 and a jitter value range, judging that the operation is successful when the distribution areas are smaller and larger than enough pixel points, and otherwise, continuously taking the image and carrying out the step 1) operation;
4) extracting an original watermark image through a shadow template, and extracting the brightest pixel after gray level operation in the image as much as possible through a shadow coverage area, wherein the RGB values are stored until the extracted pixel value is not changed, thereby indicating that the extraction is successful;
5) removing the image watermark through the original watermark image: the algorithm for removing the watermark adopts the inpaint algorithm of opencv, and the watermark picture can be well removed;
6) searching and positioning the watermark picture, performing step 1) operation on the watermark desired picture and the picture to be judged, performing mask area statistics, and performing ratio calculation according to the area in the ratio and the effective area (dark area does not need comparison, such as: black areas) and as a result more than 60% or more indicates a watermark.
According to the invention, through the steps, the picture watermark template is automatically and directly extracted from the picture to be processed through an algorithm through the pre-classified pictures, and the picture classification can also be automatically processed through a crawler program; the gray level image is used for watermark positioning in the algorithm, and rgb values are used for image watermark extraction, so that the accuracy of watermark image pixel extraction is ensured to the greatest extent, and meanwhile, the watermark can be removed more cleanly without leaving traces; according to the method, the original picture and the manual preprocessing picture are not required to be obtained, so that the labor cost can be greatly saved, the efficiency is improved, and the machine learning operation period is shortened.
Referring to fig. 2, an openCV-based automatic image watermark identification processing system includes an identification processing system, and a core function module of the identification processing system includes: the system comprises a picture management module, a task management module, a watermark template management module, an algorithm management module, a system management module and an external service interface management module.
In the invention, the picture management module:
importing pictures in batches: importing the picture through a folder, automatically extracting the resolution of the picture during importing, and verifying the format of the picture; importing pictures in batches through url addresses, automatically performing region classification according to the url addresses, and importing the pictures with the files through other verification;
the imported pictures record operation logs according to batches;
managing the pictures in a classified manner: adding and maintaining picture areas, adding and maintaining picture classification information, carrying out picture screening management, and providing functions of manually screening and deleting pictures;
managing the image marking information;
marking static position information of the watermark: only one standard image is needed for the same type of image, and the operation efficiency and accuracy can be greatly improved by adding labels;
marking watermark dynamic position information: if the watermark positions are dynamically changed, the watermark positions of all the training pictures need to be marked, and then the dynamic positions are cut by a program;
browsing and downloading task pictures: and filtering and browsing processing results according to the task classification and the name.
In the invention, a task management module:
adding a task: selecting a processing algorithm and target parameters, defining tasks, and classifying general tasks according to the algorithm; the picture can be selected from an original picture, a picture processed by other tasks and a watermark template picture;
and (3) maintenance tasks: managing task execution condition management; task execution cycle management, single or periodic execution; and managing task input and output parameters.
In the invention, a task management module:
adding a task: selecting a processing algorithm and target parameters, defining tasks, and classifying general tasks according to the algorithm; the picture can be selected from an original picture, a picture processed by other tasks and a watermark template picture;
and (3) maintenance tasks: managing task execution condition management; task execution cycle management, single or periodic execution; and managing task input and output parameters.
In the invention, the watermark template management module comprises: the method comprises the steps of template shadow picture management and picture editing, fine adjustment of a mask can be carried out, the shadow range is corrected, original watermark picture management and picture editing are carried out, and the watermark eliminating effect and the detection accuracy are improved by adjusting the picture.
In the invention, an algorithm management module: the algorithm management is a universal interface, the specific function is realized by registered classes, and the same algorithm can have a plurality of versions; and the algorithm management module specifically comprises: the method comprises the following steps of picture shadow operation model management, original watermark image extraction algorithm management, watermark check algorithm management, watermark elimination algorithm management, watermark mask shadow extraction algorithm management and picture background color transparent processing algorithm management.
In the invention, a system management module: system configuration parameter management, interface authority management and system log management.
In the invention, the external service interface management module uses the watermark templates extracted by history to compare in batch, and comprises: a watermark detection interface and a watermark elimination interface.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. An openCV-based automatic image watermark identification processing method comprises an identification processing method, and is characterized in that the identification processing method comprises the following core steps:
1) establishing a picture shadow operation model, requiring that the resolution ratio of the picture is the same and the format is the same, taking the input parameter as two pictures with the same watermark, taking the output parameter as a matrix with the same resolution ratio as the input parameter, carrying out transparency processing on the background color firstly, then carrying out gray processing on the pictures, carrying out a core algorithm, carrying out difference taking on two picture matrixes firstly, taking an absolute value, then subtracting the absolute value from 255 as a calculation result, not calculating dark pixels, directly taking the value of light pixels, and finally taking a pixel area close to the 255 value as a watermark area; under normal conditions, the identification rate of the pure-color watermark is high, the semitransparent watermark needs to be added with a jitter value range to be framed as the watermark, and the algorithm principle is as follows: by using the animation principle for reference, the watermark information with the same specification is equivalent to a stain on a lens, and the stain is more obvious under a shallow background;
2) the method comprises the steps of image classification preprocessing, wherein the images to be processed are classified according to channels and resolution, generally, the watermark contents of the images of the same website are the same, the positions are consistent, the image resolutions are the same, and the steps can be directly classified when a crawler acquires the images;
3) extracting watermark masking shadows, namely taking 10 or more image pictures with watermarks under the same classification, randomly taking one image as an operation object, then respectively carrying out step 1) operation with other images, obtaining the watermark masking shadows after the operation, continuously optimizing and testing parameters as to whether the mask shadow operation is successful or not, generally judging whether the operation is successful or not through distribution areas of 255 and a jitter value range, judging that the operation is successful when the distribution areas are smaller and larger than enough pixel points, and otherwise, continuously taking the image and carrying out the step 1) operation;
4) extracting an original watermark image through a shadow template, and extracting the brightest pixel after gray level operation in the image as much as possible through a shadow coverage area, wherein the RGB values are stored until the extracted pixel value is not changed, thereby indicating that the extraction is successful;
5) removing the image watermark through the original watermark image: the algorithm for removing the watermark adopts the inpaint algorithm of opencv, and the watermark picture can be well removed;
6) searching and positioning the watermark picture, performing step 1) operation on the watermark desired picture and the picture to be judged, performing mask area statistics, and performing ratio calculation according to the area in the ratio and the effective area (dark area does not need comparison, such as: black areas) and as a result more than 60% or more indicates a watermark.
2. The openCV-based automatic image watermark identification and processing method as claimed in claim 1, wherein through the above steps, the image watermark template is automatically extracted from the image to be processed through an algorithm by pre-classifying the image, and the image classification can also be automatically processed through a crawler program; the gray level image is used for watermark positioning in the algorithm, and rgb values are used for image watermark extraction, so that the accuracy of watermark image pixel extraction is ensured to the greatest extent, and meanwhile, the watermark can be removed more cleanly without leaving traces; according to the method, the original picture and the manual preprocessing picture are not required to be obtained, so that the labor cost can be greatly saved, the efficiency is improved, and the machine learning operation period is shortened.
3. An openCV-based automatic image watermark identification processing system comprises an identification processing system, and is characterized in that a core function module of the identification processing system comprises: the system comprises a picture management module, a task management module, a watermark template management module, an algorithm management module, a system management module and an external service interface management module.
4. The openCV-based automatic picture watermark recognition processing system as claimed in claim 3, wherein the picture management module:
importing pictures in batches: importing the picture through a folder, automatically extracting the resolution of the picture during importing, and verifying the format of the picture; importing pictures in batches through url addresses, automatically performing region classification according to the url addresses, and importing the pictures with the files through other verification;
the imported pictures record operation logs according to batches;
managing the pictures in a classified manner: adding and maintaining picture areas, adding and maintaining picture classification information, carrying out picture screening management, and providing functions of manually screening and deleting pictures;
managing the image marking information;
marking static position information of the watermark: only one standard image is needed for the same type of image, and the operation efficiency and accuracy can be greatly improved by adding labels;
marking watermark dynamic position information: if the watermark positions are dynamically changed, the watermark positions of all the training pictures need to be marked, and then the dynamic positions are cut by a program;
browsing and downloading task pictures: and filtering and browsing processing results according to the task classification and the name.
5. The openCV-based automatic picture watermark recognition processing system as claimed in claim 4, wherein the task management module:
adding a task: selecting a processing algorithm and target parameters, defining tasks, and classifying general tasks according to the algorithm; the picture can be selected from an original picture, a picture processed by other tasks and a watermark template picture;
and (3) maintenance tasks: managing task execution condition management; task execution cycle management, single or periodic execution; and managing task input and output parameters.
6. The openCV-based automatic image watermark recognition processing system as claimed in claim 5, wherein the watermark template management module comprises: the method comprises the steps of template shadow picture management and picture editing, fine adjustment of a mask can be carried out, the shadow range is corrected, original watermark picture management and picture editing are carried out, and the watermark eliminating effect and the detection accuracy are improved by adjusting the picture.
7. The openCV-based automatic image watermark recognition processing system as claimed in claim 6, wherein the algorithm management module is configured to: the algorithm management is a universal interface, the specific function is realized by registered classes, and the same algorithm can have a plurality of versions; and the algorithm management module specifically comprises: the method comprises the following steps of picture shadow operation model management, original watermark image extraction algorithm management, watermark check algorithm management, watermark elimination algorithm management, watermark mask shadow extraction algorithm management and picture background color transparent processing algorithm management.
8. The openCV-based automatic picture watermark recognition processing system as claimed in claim 7, wherein the system management module: system configuration parameter management, interface authority management and system log management.
9. The openCV-based automatic image watermark recognition and processing system as claimed in claim 8, wherein the external service interface management module uses the historical extracted watermark templates for batch comparison, and comprises: a watermark detection interface and a watermark elimination interface.
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