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Detection method for stationary state of enteroscope lens based on image recognition matching

A technology of image recognition and static detection, applied in the direction of rectoscopy, rectal electron microscopy, sigmoidoscopy, etc., can solve the problem of insufficient time for withdrawing the mirror and the influence of colonoscopy results.

Pending Publication Date: 2020-10-30
TIANJIN YUJIN ARTIFICIAL INTELLIGENCE MEDICAL TECH CO LTD
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Problems solved by technology

The use of colonoscopy to detect colonic polyps, due to the difference in the patient's bowel preparation, the operator's proficiency in colonoscopy, the shape and size of colonic polyps, and the insufficient time to withdraw the scope during the examination, may affect the colonoscopy. The inspection results have an impact on

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  • Detection method for stationary state of enteroscope lens based on image recognition matching

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Embodiment Construction

[0019] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0020] like figure 1 As shown, the present invention is a flow chart of the method for static detection of colonoscopy lens based on image recognition and matching, which includes:

[0021] Step 101, data collection. In the colonoscopy video, find out the static part of the colonoscopy screen caused by abnormal examination-related reasons during the withdrawal of the endoscopy.

[0022] Step 102, OpenCV image analysis and processing. Use opencv to read the video containing the still part of the picture, read each frame in a loop, convert it into a grayscale image, normalize it to 512*512, and cut it into 4*4 small pieces;

[0023] Calculate the gray mean value of each small bl...

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Abstract

The invention discloses a detection method for a stationary state of an enteroscope lens based on image recognition matching. The method comprises the following steps: reading each frame of a target image in an enteroscope video, converting each frame into a grey-scale map, then normalizing the grey-scale map to a size of 512*512, and cutting the normalized the grey-scale map into small blocks, each with a size of 4*4; calculating a gray average value of each small block to obtain an average value set of 16 numerical values; calculating the difference between the gray average value sets of a previous frame and the current frame, and further solving a change proportion; and if the change proportion of continuous N frames is lower than a threshold value, determining that the lens is static.According to the invention, whether the effective retreating examination time of a doctor during enteroscopy surgery of a patient reaches a preset time or not can be effectively judged, and a prompt can be given.

Description

technical field [0001] The invention relates to the technical field of image detection, in particular to a method for static detection of colonoscopy lenses based on image recognition and matching. Background technique [0002] In recent years, the incidence and mortality of colorectal cancer in my country have shown an obvious upward trend. Early detection and early treatment are the main strategies to reduce the mortality of colorectal cancer. Colonoscopy is one of the most effective methods for detecting colorectal polyps and tumors, and it is also the main method for colorectal tumor screening. Colonoscopy detected by colonoscopy may be affected by colonoscopy due to differences in the patient's bowel preparation, operator's proficiency in colonoscopy, the shape and size of colonic polyps, and insufficient time to withdraw from the colonoscopy. impact on the inspection results. The detection rate of adenomatous polyps as precancerous lesions is considered to be one of...

Claims

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Application Information

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IPC IPC(8): A61B1/31A61B1/00A61B1/04
CPCA61B1/31A61B1/00009A61B1/00055A61B1/00057A61B1/04
Inventor 王玉峰
Owner TIANJIN YUJIN ARTIFICIAL INTELLIGENCE MEDICAL TECH CO LTD
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