Capsule endoscope image data redundancy removing method

Abstract

The invention discloses a capsule endoscope image data redundancy removing method comprising the steps as follows: (1) taking a first image in an image sequence as a key image; (2) taking an image next to the key image as a contrast image, and calculating the global characteristic similarity between the key image and the contrast image; (3) judging whether normalized cross-correlation coefficients are all greater than a threshold, if the normalized cross-correlation coefficients are all greater than the threshold, determining that the global characteristic similarity is greater than a threshold, further calculating the local characteristic similarity between the key image and the contrast image, and going to step (4), or, taking the current contrast image as a new key image and returning to step (2); and (4) judging whether the local characteristic similarity between the key image and the contrast image is greater than a preset threshold, if the local characteristic similarity between the key image and the contrast image is greater than the preset threshold, marking the current contrast image as a redundant image and deleting the contrast image, or, taking the current contrast image as a new key image and returning to step (2). Through the method, the total number of images needing to be checked by doctors can be reduced, and the diagnosis efficiency and accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for removing redundancy of image data of a capsule endoscope. Background technique [0002] The wireless capsule endoscope can inspect the entire digestive tract in a painless and non-invasive way, which is a revolutionary technological breakthrough. The patient swallows a capsule, the capsule advances along the digestive tract, and takes image data. The capsule endoscope needs to work for 6 to 8 hours in total and collect about 50,000 images. A large amount of image data makes the doctor's inspection work difficult and difficult. time consuming. Professional doctors usually need about 2 hours to complete the examination of the entire image sequence. Sometimes the abnormality of the digestive tract only exists in a few frames of images. In addition, there is usually a lot of redundant information in the images collected by the capsule endoscope. Doctors may mi...

AI Technical Summary

Problems solved by technology

This technology adopts the image registration technology, which considers the global motion model and the local motion model, and has a large amount of calculation, which is not conducive to the actual capsule endoscope-assisted film reading system.

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