Bleeding Detection from Wireless Capsule Endoscopy Images Using Improved Euler Distance in CIELab  

Bleeding Detection from Wireless Capsule Endoscopy Images Using Improved Euler Distance in CIELab

在线阅读下载全文

作  者:潘国兵 颜国正 宋昕帅 邱祥玲 

机构地区:[1]School of Electronic Information and Electrical Engineering,Shanghai Jiaotong University

出  处:《Journal of Shanghai Jiaotong university(Science)》2010年第2期218-223,共6页上海交通大学学报(英文版)

基  金:the National High Technology Research and Development Program (863) of China(No.2006AA04Z368);the National Natural Science Foundation of China (No.30570485)

摘  要:Bleeding in the digestive tract is one of the most common gastrointestinal (GI) tract diseases,as well as the complication of some fatal diseases. Wireless capsule endoscopy (WCE),which is widely applied in the clinical field,allows physicians to noninvasively examine the entire GI tract. However,it is very laborious and timeconsuming to detect the huge amount of WCE images,and limits its wider application. It is urgent and necessary to develop the automatic and intelligent computer aided bleeding detection technique. This paper improves the Euler distance with the covariance matrix of image to measure the colour similarity in CIELab colorimetric system,and proposes a novel method of bleeding detection in WCE images. The experiments demonstrate that the bleeding region in WCE images can be correctly recognized and marked out,and the sensitivity of this method is 92%,the specificity is 95%.Bleeding in the digestive tract is one of the most common gastrointestinal (GI) tract diseases,as well as the complication of some fatal diseases. Wireless capsule endoscopy (WCE),which is widely applied in the clinical field,allows physicians to noninvasively examine the entire GI tract. However,it is very laborious and timeconsuming to detect the huge amount of WCE images,and limits its wider application. It is urgent and necessary to develop the automatic and intelligent computer aided bleeding detection technique. This paper improves the Euler distance with the covariance matrix of image to measure the colour similarity in CIELab colorimetric system,and proposes a novel method of bleeding detection in WCE images. The experiments demonstrate that the bleeding region in WCE images can be correctly recognized and marked out,and the sensitivity of this method is 92%,the specificity is 95%.

关 键 词:bleeding detection wireless capsule endoscopy image CIELAB covariance matrix 

分 类 号:TP391[自动化与计算机技术—计算机应用技术] R57[自动化与计算机技术—计算机科学与技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象