CN110969583A - Image background processing method and system - Google Patents
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Abstract
The invention provides an image background processing method, which relates to the technical field of image processing and comprises the following steps: step S1, processing the digital pathological image to obtain a gray-scale image; step S2, processing to obtain the threshold value of the gray level image and carrying out binarization processing on the gray level image; step S3, analyzing the connected region of the background region in the binary image; step S4, calculating the center point coordinate corresponding to each connected domain; step S5, taking each central point coordinate as a seed point, and performing flood filling algorithm processing on the digital pathological image; the technical scheme has the effects that: under the condition that no influence is generated on pathological tissues in the pathological section area of the digital pathological image, the color and the brightness of the background are improved, the contrast between the pathological tissues and the background is improved, and the user experience of a user when the user browses the digital pathological sections is improved.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to a method and a system for processing an image background.
Background
Along with the rise of pathological section scanner, use the pathological section scanner to obtain digital pathological section in more and more hospitals, digital pathological section is convenient for preserve, and conveniently browses, can transmit the sharing through the network simultaneously, has very big convenience, has made things convenient for the user to pathological section's research and exchange. However, the digital pathological section may have some differences from the pathological section observed under the microscope, for example, in terms of background purity of the two pathological sections, due to the influence of optical elements such as light source, light path and lens, the digital pathological section obtained by scanning with the pathological section scanner may have the problems of poor background color, much background noise, low contrast between the background and the pathological tissue, much background impurity, etc., which may cause the digital pathological section to be inferior to the pathological section under the microscope in observability.
In order to solve the above problems, in the prior art, digital pathological sections are mostly adjusted and processed by a global contrast enhancement algorithm, a brightness adjustment algorithm, a light field correction algorithm, and the like, but the above algorithms may simultaneously destroy the fidelity of pathological tissues in the process of adjusting the digital pathological sections, so that the adjusted pathological tissues and actual pathological tissues have large differences in color and darkness, which may affect the observation of users on the pathological tissues, and meanwhile, the adjusting method has a very limited effect on background adjustment of the digital pathological sections.
Disclosure of Invention
According to the problems in the prior art, an image background processing method and an image background processing system are provided, the method searches a connected domain of a processed image by performing gray scale transformation and binarization processing on a digital pathological image, calculates a central point coordinate of the searched connected domain, uses the obtained central point coordinate as a seed point, and performs preset image filling on a non-pathological section of the digital pathological image by using a flood filling algorithm, so that the color and brightness of the background are improved without any influence on the pathological tissue in a pathological section area of the digital pathological image, the contrast between the pathological tissue and the background is improved, and the user experience of a user in browsing the digital pathological section is improved.
The technical scheme specifically comprises the following steps:
an image background processing method is applied to a digital pathological image, wherein the digital pathological image is divided into a pathological section area and a non-pathological section area, and the image background processing method comprises the following steps:
step S1, preprocessing the digital pathological image to obtain a gray scale image of the digital pathological image;
step S2, processing to obtain a threshold value of the gray-scale image, and performing binarization processing on the gray-scale image by using the threshold value to obtain a binary image;
the binary image comprises a background region corresponding to the non-pathological slice region and a foreground region corresponding to the pathological slice region;
step S3, performing connected region analysis on the background region in the binary image to obtain at least one connected region;
step S4, calculating the center point coordinate corresponding to each connected domain;
and step S5, taking the pixel point in the digital pathological image corresponding to each central point coordinate as a seed point, performing the flood filling algorithm processing on the digital pathological image, and finally forming and outputting the processed digital pathological image.
Preferably, in the step S2, the threshold of the gray scale map is obtained through an atraumatic threshold algorithm.
Preferably, in step S2, the background area of the binary image has a pixel value of 1, and the foreground area has a pixel value of 0.
Preferably, in step S4, for each connected domain, the center point coordinate is calculated according to the following formula:
wherein,
Pcfor representing the center point coordinates;
P1,P2,…,Pnused for representing the coordinates of all pixel points in the connected domain.
Preferably, the step S5 specifically includes:
step S51, presetting a target RGB value
Step S52, using the seed point as an origin, and adopting a flood filling algorithm to find out all points in a flood area which are the same as the seed point as target points;
step S53, setting the RGB value of the target point as a target RGB value.
Preferably, wherein the target RGB value is [255, 255, 255 ].
Preferably, in step S1, the pathological image is grayed by a weighted average method.
An image background processing system applied to a digital pathology image, comprising:
an input module for inputting the digital pathology image;
the first processing module is connected with the input module and used for preprocessing the digital pathological image to generate a gray scale map of the digital pathological image;
the second processing module is connected with the first processing module and used for processing to obtain a threshold value of the gray-scale image and performing binarization processing on the gray-scale image by using the threshold value to obtain a binary image;
the binary image comprises a background region corresponding to the non-pathological slice region and a foreground region corresponding to the pathological slice region;
the analysis module is connected with the second processing module and used for analyzing the connected region of the background region in the binary image to obtain at least one connected region;
the filling module is connected with the input module and the analysis module and used for calculating a central point coordinate corresponding to each connected domain, taking the central point coordinate as a seed point corresponding to the connected domain, and filling the digital pathological image according to a flood filling algorithm to form the processed digital pathological image;
and the output module is connected with the filling module and outputs the processed digital pathological image to a user.
Preferably, the filling module calculates the center point coordinate according to the following formula for each connected domain:
wherein,
Pcfor representing the center point coordinates;
P1,P2,…,Pnused for representing the coordinates of all pixel points in the connected domain.
Preferably, the second processing module obtains the threshold of the gray scale map through an atrazine threshold algorithm.
The beneficial effects of the above technical scheme are that:
the method comprises the steps of searching a connected domain of a processed image by carrying out gray level transformation and binarization processing on a digital pathological image, calculating a central point coordinate of the searched connected domain, taking the obtained central point coordinate as a seed point, and filling a preset image in a non-pathological section of the digital pathological image by using a flood filling algorithm, so that the color and brightness of the background are improved under the condition that no influence is caused on pathological tissues in a pathological section area of the digital pathological image, the contrast between the pathological tissues and the background is improved, and the user experience of a user when the user browses the digital pathological sections is improved.
Drawings
FIG. 1 is a flow chart illustrating a method for processing an image background according to a preferred embodiment of the present invention;
FIG. 2 is a flow chart of a sub-step of step S5 based on FIG. 1 according to a preferred embodiment of the present invention;
FIG. 3 is a schematic diagram of an internal structure of an image background processing system according to a preferred embodiment of the present invention;
FIG. 4 is an original image of an unprocessed digital pathology image according to a preferred embodiment of the present invention;
fig. 5 is a processing diagram of the original digital pathological image after being processed by the image background processing method according to the preferred embodiment of 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. 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.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
An image background processing method is applied to a digital pathological image, as shown in fig. 1, wherein the digital pathological image is divided into a pathological section area and a non-pathological section area, and the image background processing method comprises the following steps:
step S1, preprocessing the digital pathological image to obtain a gray scale image of the digital pathological image;
step S2, processing to obtain a threshold value of the gray level image, and performing binarization processing on the gray level image by using the threshold value to obtain a binary image;
the binary image comprises a background region corresponding to the non-pathological section region and a foreground region corresponding to the pathological section region;
step S3, analyzing the connected region of the background region in the binary image to obtain at least one connected region;
step S4, calculating the center point coordinate corresponding to each connected domain;
and step S5, taking the pixel point in the digital pathological image corresponding to each central point coordinate as a seed point, performing flood filling algorithm processing on the digital pathological image, and finally forming and outputting the processed digital pathological image.
In an embodiment of the present invention, the pathological section area in the digital pathological image refers to an area containing information on pathological section tissues, and the non-pathological section area refers to a blank area for supporting pathological section tissues.
In the preferred embodiment of the present invention, in step S2, the threshold of the gray scale map is obtained through the greater amount of threshold algorithm processing.
In the preferred embodiment of the present invention, in step S2, the pixels in the background area of the binary image take a value of 1, and the pixels in the foreground area take a value of 0.
In one embodiment of the present invention, the threshold T of the gray scale map is automatically calculated by the Otsu threshold algorithmOTSUBy means of TOTSUCarrying out binarization processing on the gray-scale image, marking a background area corresponding to a non-pathological section area as 1, marking a foreground area corresponding to a pathological section as 0, then searching all connected domains with the numerical value of 1 in the binarized image, and marking as: c ═ C1,c2,…,cn}。
In the preferred embodiment of the present invention, in step S4, for each connected domain, the center point coordinates are calculated according to the following formula:
wherein,
Pcfor representing the coordinates of the center point;
P1,P2,…,Pnused to represent the coordinates of all the pixel points in the connected domain.
In a specific embodiment of the present invention, the coordinates of the center points of all connected domains are calculated according to the above formula, and are recorded as: pc＝{Pc1,Pc2,…,Pcn}。
In a preferred embodiment of the present invention, as shown in fig. 2, step S5 specifically includes:
step S51, presetting a target RGB value
Step S52, using the seed point as an origin, and adopting a flood filling algorithm to find out all points in the flood area which are the same as the seed point as target points;
in step S53, the RGB value of the target point is set as the target RGB value.
In one embodiment of the invention, P is usedc＝{Pc1,Pc2,…,PcnEach point in the set is used as a seed point of a corresponding connected domain, and a flood filling algorithm is applied to fill preset colors in an original image of the digital pathological image, and the specific steps are as follows:
firstly, setting a target three-channel gray value Gdst＝{rd,gd,bdAnd an upper limit UpDiff ═ rup,gup,bupAnd a lower limit LoDiff ═ rlo,glo,blo}; secondly, taking the corresponding seed point in the connected region as an origin, traversing and detecting all pixel points in the connected region outwards, if the gray difference value of three channels between the current detection point and the last detection point is between the upper limit UpDiff and the lower limit LoDiff, regarding the detection point as the same point as the seed point, and making the RGB value of the detection point as Gdst(ii) a If the current detection point is not within the upper and lower limit ranges, the current detection point is regarded as a pixel point different from the seed point, and then the exit is stopped; and repeating the steps until the boundaries of the whole communication area do not meet the conditions, and filling the communication area in a flooding way is finished.
In the preferred embodiment of the present invention, the target RGB values are [255, 255, 255 ].
In an embodiment of the present invention, the target RGB values may be arbitrarily set as required, but the principle of highlighting the pathological section area and facilitating the observation of the pathological section area by the user is taken as a principle.
In the preferred embodiment of the present invention, in step S1, the pathological image is grayed by using a weighted average method.
An image background processing system applied to a digital pathological image, as shown in fig. 3, comprises:
the input module 1 is used for inputting digital pathological images;
the first processing module 2 is connected with the input module 1 and is used for preprocessing the digital pathological image to generate a gray scale image of the digital pathological image;
the second processing module 3 is connected with the first processing module 2 and used for processing the threshold value of the obtained gray level image and performing binarization processing on the gray level image by using the threshold value to obtain a binary image;
the binary image comprises a background region corresponding to the non-pathological section region and a foreground region corresponding to the pathological section region;
the analysis module 4 is connected with the second processing module 3 and is used for analyzing the connected region of the background region in the binary image to obtain at least one connected region;
the filling module 5 is connected with the input module 1 and the analysis module 4 and is used for calculating a central point coordinate corresponding to each connected domain, taking the central point coordinate as a seed point of the corresponding connected domain, and filling the digital pathological image according to a flood filling algorithm to form a processed digital pathological image;
and the output module 6 is connected with the filling module 5 and outputs the processed digital pathological image to a user.
In the preferred embodiment of the present invention, the filling module 5 calculates the coordinates of the center point according to the following formula for each connected domain:
wherein,
Pcfor representing the coordinates of the center point;
P1,P2,…,Pnused to represent the coordinates of all the pixel points in the connected domain.
In the preferred embodiment of the present invention, the second processing module 3 obtains the threshold of the gray scale image through the process of the greater fluid threshold algorithm.
In an embodiment of the present invention, as shown in fig. 3, which is an original image of a digital pathological image, it can be seen that the colors of the non-pathological section and the pathological section of the digital pathological image are similar, and the non-pathological section existing as the background does not well line out the pathological section, and does not use the observation of the pathological tissue by the user; fig. 4 is a processing diagram obtained by processing the image background processing method, and it can be seen that the non-pathological section in the processing diagram is filled with white color, which is in sharp contrast with the pathological section, and the display of the pathological tissue in the pathological section is not affected during the filling process, which is convenient for the user to observe the pathological tissue.
The beneficial effects of the above technical scheme are that:
the method searches a connected domain of a processed image by performing gray scale transformation and binarization processing on a digital pathological image, calculates a central point coordinate of the searched connected domain, uses the obtained central point coordinate as a seed point, and performs preset image filling on a non-pathological section of the digital pathological image by using a flood filling algorithm, so that the color and brightness of the background are improved without any influence on pathological tissues in a pathological section area of the digital pathological image, the contrast between the pathological tissues and the background is improved, and the user experience of a user when the user browses the digital pathological sections is improved.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. An image background processing method is applied to a digital pathological image, and is characterized in that the digital pathological image is divided into a pathological section area and a non-pathological section area, and the image background processing method comprises the following steps:
step S1, preprocessing the digital pathological image to obtain a gray scale image of the digital pathological image;
step S2, processing to obtain a threshold value of the gray-scale image, and performing binarization processing on the gray-scale image by using the threshold value to obtain a binary image;
the binary image comprises a background region corresponding to the non-pathological slice region and a foreground region corresponding to the pathological slice region;
step S3, performing connected region analysis on the background region in the binary image to obtain at least one connected region;
step S4, calculating the center point coordinate corresponding to each connected domain;
and step S5, taking the pixel point in the digital pathological image corresponding to each central point coordinate as a seed point, performing the flood filling algorithm processing on the digital pathological image, and finally forming and outputting the processed digital pathological image.
2. The image background processing method according to claim 1, wherein in the step S2, the threshold of the gray scale map is obtained by an atrazine threshold algorithm.
3. The image background processing method according to claim 1, wherein in the step S2, the pixels of the background region and the pixels of the foreground region of the binary image take on values of 1 and 0, respectively.
4. The image background processing method according to claim 1, wherein in the step S4, the center point coordinate is calculated according to the following formula for each connected domain:
wherein,
Pcfor representing the center point coordinates;
P1,P2,…,Pnused for representing the coordinates of all pixel points in the connected domain.
5. The image background processing method according to claim 1, wherein the step S5 specifically includes:
step S51, presetting a target RGB value
Step S52, using the seed point as an origin, and adopting a flood filling algorithm to find out all points in a flood area which are the same as the seed point as target points;
step S53, setting the RGB value of the target point as a target RGB value.
6. An image background processing method according to claim 5, wherein the target RGB value is [255, 255, 255 ].
7. The image background processing method according to claim 1, wherein in step S1, the pathological image is grayed by a weighted average method.
8. An image background processing system applied to a digital pathological image, comprising:
an input module for inputting the digital pathology image;
the first processing module is connected with the input module and used for preprocessing the digital pathological image to generate a gray scale map of the digital pathological image;
the second processing module is connected with the first processing module and used for processing to obtain a threshold value of the gray-scale image and performing binarization processing on the gray-scale image by using the threshold value to obtain a binary image;
the binary image comprises a background region corresponding to the non-pathological slice region and a foreground region corresponding to the pathological slice region;
the analysis module is connected with the second processing module and used for analyzing the connected region of the background region in the binary image to obtain at least one connected region;
the filling module is connected with the input module and the analysis module and used for calculating a central point coordinate corresponding to each connected domain, taking the central point coordinate as a seed point corresponding to the connected domain, and filling the digital pathological image according to a flood filling algorithm to form the processed digital pathological image;
and the output module is connected with the filling module and outputs the processed digital pathological image to a user.
9. The image background processing system of claim 8, wherein the fill module calculates the center point coordinates for each of the connected components according to the following formula:
wherein,
Pcfor representing the center point coordinates;
P1,P2,…,Pnused for representing the coordinates of all pixel points in the connected domain.
10. The image background processing system according to claim 8, wherein the second processing module obtains the threshold of the gray scale image through an Otsu threshold algorithm.
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