Bleeding Detection in Wireless Capsule Endoscopy Using Color Similarity Coefficient

被引：4

作者：

Pan, Guobing ^{[1
]}

Xu, Fang ^{[1
]}

Chen, Jiaoliao ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Inst Mechatron Engn, Hangzhou 310032, Zhejiang, Peoples R China

来源：

MECHANICAL ENGINEERING AND INTELLIGENT SYSTEMS, PTS 1 AND 2 | 2012年 / 195-196卷

关键词：

WCE; Color Vector similarity coefficient; bleeding detection; pattern recognition; SUSPECTED BLOOD INDICATOR; PERFORMANCE;

D O I：

10.4028/www.scientific.net/AMM.195-196.307

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Wireless Capsule Endoscopy (WCE) generates a large number of images in or,e examination of a patient. It is very laborious and time-consuming to detect the WCE video, and limits the wider application of WCE. It is urgent and necessary to develop an automatic and intelligent computer aided bleeding detection technique. This paper proposes the color vector similarity coefficients to measure the color similarity, and based on which, a novel algorithm is implemented to recognize the bleeding in WCE images. The novel algorithm is implemented in RGB color space, and is featured with simple computation and practicability. The experiments show the sensitivity and specificity of this algorithm are 90% and 97% respectively.

引用

页码：307 / 312

页数：6

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