Automatic eliminating method for redundant image data of capsule endoscope

A technology of capsule endoscope and image data, which is applied in the field of image processing, can solve the problems of not finding papers and patent publications, etc., and achieves the effects of high rejection efficiency, simple threshold selection, and improved stability.

Inactive Publication Date: 2011-06-15
SOUTHERN MEDICAL UNIVERSITY
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Problems solved by technology

Regarding the judgment and elimination of invalid and similar images of ...

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  • Automatic eliminating method for redundant image data of capsule endoscope
  • Automatic eliminating method for redundant image data of capsule endoscope
  • Automatic eliminating method for redundant image data of capsule endoscope

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Embodiment Construction

[0025] Figure 1 to Figure 3 Shown is the flow chart of the automatic elimination method of capsule endoscope redundant image data of the present invention, comprises the following steps:

[0026] (1) Eliminate invalid image data first: first judge whether the image has exposure defects according to the average brightness of the image. The judgment process is: due to the normal image sequence, its illumination and exposure conditions are similar, assuming that the average gray level distribution of its pixels is Normal, the average value of the pixel grayscale of the correctly exposed image obeys the normal distribution, select a normal image sample to obtain the mean and variance of the average grayscale distribution of the image pixels, and then treat each frame of image in the image data for judgment Calculate the average gray value of its pixel, then standardize the pixel average gray value of the current image according to the normal distribution of the sample, that is, t...

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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 whether the 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...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T1/00A61B1/00A61B5/07
Inventor 刘哲星李凯旋潘建南吕庆文陈宇轩刘思德
Owner SOUTHERN MEDICAL UNIVERSITY
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