Automatic eliminating method for redundant image data of capsule endoscope

Abstract

The invention discloses an automatic eliminating method for redundant image data of a capsule endoscope, and the method comprises the following steps: firstly, selecting a normal image sample to obtain the mean value and variance of the average gray distribution of image pixels, computing the average gray value of the pixels of each frame of the image in picture data to be judged, judging whetherthe image is an image with abnormal exposure according to the characteristic of the standard normal distribution, and eliminating the image with the abnormal exposure; then, supposing that the normalized related coefficient or normalized mutual information quantity between every two adjacent frames of the images is submitted to the normal distribution; evaluating the mean value and the variance from an image sample to be processed; rigidly registering the images which are adjacent to the image to be processed; and judging whether the contents of the two adjacent frames of the images are highly repeated according to the characteristic of the standard normal distribution, and delimiting the repeated images. The method is performed before the content-based image retrieval is carried out, so that the searching efficiency can be preferably improved, the interference can be eliminated as much as possible, and the film reading time can be shortened, therefore, the diagnosis efficiency of a doctor is improved.

Description

technical field [0001] The invention relates to an image processing method, in particular to an automatic elimination method for redundant image data of a capsule endoscope. Background technique [0002] A typical capsule endoscopy will produce about 50,000 frames of endoscopic images of the digestive tract, of which there are often only dozens of images with diagnostic value including lesions. When diagnosing, doctors need to go through all the images collected by the capsule endoscope, find images with diagnostic value, and make a diagnosis based on them. This is a very time-consuming and laborious task. Heavy work will not only waste the precious time of the doctor, but also make the doctor feel tired, reduce the excitability of the brain, reduce the sensitivity and identification ability of the lesion, and easily lead to missed diagnosis. [0003] In fact, a small part of the captured capsule endoscopic images are invalid. They are caused by insufficient lighting or in...

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Problems solved by technology

Regarding the judgment and elimination of invalid and similar images of capsule endoscopy, no relevant papers and patents have been published in China

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