Wireless capsule endoscope image recognition method and system
A capsule endoscope and image recognition technology, which is applied in character and pattern recognition, in-body radio detectors, instruments, etc., can solve problems such as blurred images, no way to accurately diagnose, and difficult to accurately identify images, so as to avoid missed detection and Simple and orderly effect of error detection and observation work
Active Publication Date: 2017-08-22
SHENZHEN INST OF ADVANCED TECH
View PDF3 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
The patient swallows the capsule with water like taking medicine, and it wriggles with the gastrointestinal muscles, records the pathological images in the digestive tract through the built-in micro camera, and displays the images to the doctor to provide a basis for his diagnosis, but because the capsule endoscope Relying on intestinal peristalsis in the body, the obtained images are often blurred, which may lead to unclear images of pathological areas and no way to accurately diagnose. For the problem that capsule endoscopic images are difficult to accurately identify, there is currently no special identification method. Most of them are identified by the naked eye of doctors. With the denoising and enhancement of images, the accuracy of identification can be improved to a certain extent, but the workload is huge, and manual identification is difficult to avoid false detection and missed detection, which brings great harm to the diagnosis of diseases. to a certain degree of difficulty
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0017] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.
[0018] Refer to figure 1 What is shown is a flowchart of a preferred embodiment of the wireless capsule endoscope image recognition method of the present invention.
[0019] Step S401: Obtain an image of the patient's digestive tract. Specifically, a wireless capsule endoscope is used to take pictures of the patient's digestive tract to obtain images of the patient's digestive tract.
[0020] Step S402: Perform denoising and enhancement preprocessing on the acquired image to prepare for later processing and screening. Specifically, denoising processing and enhancement processing are respectively performed on the acquired image to improve the recognition degree of the image.
[0021] Step S403: Make a graph of the missing items in the HSV space on the preprocessed image, and set a threshold. The result of the simultaneous participation of three channels ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The present invention involves a wireless capsule endoscopic image recognition method, including the following steps: obtaining the patient's digestive tract image; pre -processing the obtained images; the absence of the aimal curve chart in the HSV space after the pre -processing image and set itFixed threshold; screened the above images by setting the set threshold.The invention also involves a wireless capsule endoscopy image recognition system.The invention can reduce the workload of doctors and improve the accuracy of identification.
Description
Technical field [0001] The invention relates to a wireless capsule endoscope image recognition method and system. Background technique [0002] Mucosal diseases of the digestive tract and the resulting canceration of the digestive tract are one of the biggest killers of national health (accounting for 60-70% of all malignant tumors in my country). According to statistics from the American Cancer Society (American Cancer Society), early detection and diagnosis of gastrointestinal mucosal neoplasia (neoplasia metastasis) is a key factor in reducing the mortality of gastrointestinal cancer (especially bowel cancer): The five-year survival rate can usually exceed 90% when the early stage of the disease is detected and treatment measures are taken; if it is not detected in the early stage but allowed to develop to the middle and late stages, the five-year survival rate of the patient is only less than 10%. According to tradition, doctors need to insert a fiber-optic endoscope into th...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/36A61B1/00A61B5/07
Inventor 李凌樊建平辜嘉赵婷秦文健肖华羽家平温铁祥
Owner SHENZHEN INST OF ADVANCED TECH