Redundancy elimination method and system for capsule endoscope video image

A capsule endoscope, video image technology, applied in image communication, digital video signal modification, electrical components and other directions, can solve problems such as inability to identify and reject

Inactive Publication Date: 2014-04-23
SUN YAT SEN UNIV
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, only one related invention patent has been found in China regarding the redundant identification and elimination of capsule endoscope video - "Automatic elimination method for capsule endoscope redundant image data", but this method only considers The video redundancy problem of two adjacent frames
Since the WCE examination mainly relies on the peristalsis of digestive organs such as the stomach to move the capsule, and through clinical findings, there will be many cases where the capsule moves backwar...

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Redundancy elimination method and system for capsule endoscope video image
  • Redundancy elimination method and system for capsule endoscope video image
  • Redundancy elimination method and system for capsule endoscope video image

Examples

Experimental program
Comparison scheme
Effect test

no. 1 Embodiment

[0048] A method for removing redundancy of capsule endoscope video images, the method specifically comprising:

[0049] S1. A patient swallows the capsule endoscope to collect WCE video images, and obtains WCE video images containing 30,000 frames of images;

[0050] S2. Set the first frame as a key frame, and the rest of the images, that is, the second frame to the 30,000th frame, are set as non-repeating frames;

[0051] S3, sequentially take out the 4 non-repeating frames behind the key frame (the first frame picture), i.e. the second frame picture to the fifth frame picture, then adopt the NCC function, and then combine the key frame (the first frame picture) with the taken out 4 The non-repeated frames are calculated one by one, that is, the key frame (the first frame image) and the second frame image, the third frame image, the fourth frame image and the fifth frame image are respectively calculated for the NCC function to obtain 4 NCC functions value, and these 4 NCC f...

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

No PUM Login to view more

Abstract

The invention discloses a redundancy elimination method and system for a capsule endoscope video image. The system includes an initialization module, an NCC function calculation module, a first judgment processing module, a second judgment processing module and a third judgment processing module. The method includes: taking out N non-repeated frames after a key frame and adopting an NCC function to calculate the key frame and the N non-repeated frames one by one; judging whether the NCC function value is larger than a threshold, if so, deleting corresponding non-repeated frames; if not so, reserving the non-repeated frames; judging whether the taken-out N non-repeated frames are all deleted, if so, keeping the key frame unchanged and if not so, using a non-repeated frame closest to the key frame as a new key frame; and judging whether the number of current non-repeated frames is smaller than N, if so, ending the process. The redundancy elimination method and system for the capsule endoscope video image is capable of solving a problem of video redundancy resulted from front and back movements of the capsule and improving the identification rate of the video redundancy. The method and system are widely applied to the field of WCE (wireless capsule endoscope) video image redundancy processing.

Description

technical field [0001] The invention relates to a video image processing technology, in particular to a method and system for removing redundancy of a capsule endoscope video image. Background technique [0002] Explanation of technical terms: [0003] NCC: Normalized Cross Correlation [0004] For Wireless Capsule Endoscopy (WCE) technology, it is to use a capsule pill equipped with an ultra-small camera to obtain video images of the entire human digestive system, and within 8-12 hours after the patient takes the capsule pill and starts transmitting pictures , it can send 30,000 to 50,000 frames of video images. At present, the main disadvantage of WCE inspection is that, due to the excessive number of frames of WCE video images, WCE clinicians usually need to spend 2-3 hours to check the entire WCE video, which will not only consume too much time, but also cause The doctor's eyes are tired and the ability to identify lesions is reduced, which leads to misdiagnosis and m...

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
no application Login to view more
IPC IPC(8): H04N19/85
Inventor 庞志勇陈弟虎王新颖付欣伟
Owner SUN YAT SEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products