Endoscopic image processing method and system, storage medium and equipment
An image processing and endoscopy technology, applied in image data processing, endoscopy, image enhancement, etc., can solve the problems of image reviewers' workload, blurred image quality, occupying database storage capacity, etc., so as to reduce the occupation of database storage disks. Effects of space problems
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Embodiment 1
[0040] refer to figure 1 , this embodiment provides an endoscopic image processing method, which specifically includes the following steps:
[0041] S101: After receiving the image acquisition instruction, store the current endoscopic image as the first identification frame, and continuously acquire several endoscopic images whose similarity with the first identification frame exceeds a first preset threshold.
[0042] Wherein, the first preset threshold is preset by humans, and those skilled in the art can perform matching settings according to actual conditions, which will not be described in detail here.
[0043] In this embodiment, the similarity is represented by the Hamming distance.
[0044] Calculate the similarity between two images by calculating the Hamming distance. First, the collected endoscopic images are preprocessed to remove the black border and only keep the valid area. Convert the color image of the effective area to a grayscale image, then scale it to a...
Embodiment 2
[0062] refer to figure 2 , this embodiment is based on the first embodiment, the endoscopic image processing method further includes:
[0063] S105 : After the endoscopy is completed, filter out the repeated endoscopic images whose similarity exceeds the second preset threshold and store the repeated filtered endoscopic images under the same detection site collected by the corresponding image acquisition instruction.
[0064] Wherein, the second preset threshold is preset by humans, and those skilled in the art may perform matching settings according to actual conditions, which will not be described in detail here.
[0065] In the specific implementation process of step S105, when any of the repeatedly filtered endoscopic images obtained has a lesion target, all the repeatedly filtered endoscopic images are retained and stored.
[0066] When there is no focal target in all the repeatedly filtered endoscopic images obtained, from the repeatedly filtered endoscopic images, the...
Embodiment 3
[0072] refer to image 3 , this embodiment provides an endoscopic image processing system, which specifically includes the following modules:
[0073] The focusing module 201 is used to store the current endoscopic image as the first identification frame after receiving the image acquisition instruction, and continuously acquire several endoscopic images whose similarity with the first identification frame exceeds the first preset threshold;
[0074] a blur filtering module 202, which is used to perform blur filtering processing on the acquired endoscopic image;
[0075] A quality scoring module 203, configured to score the filtered endoscopic image based on a preset image quality evaluation model, and select the endoscopic image with the highest scoring quality as the second identification frame;
[0076] Screening storage module 204, which is used to compare the scoring quality of the first recognition frame and the second recognition frame based on a preset image quality e...
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