吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (02): 510-514.

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Detection of bleeding image in wireless capsule endoscope based on superpixel segmentation

FU Yan-an1, MAX Q.-H. MENG1,2, ZHANG Wei1   

  1. 1. School of Control Science and Engineering, Shandong University, Ji'nan 250061, China;
    2. Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China
  • Received:2012-06-22 Online:2013-03-01 Published:2013-03-01

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Abstract: The morphological processing and the computer-aided diagnosis were used to detect the bleeding images in wireless capsule endoscope(WCE). Based on the morphological processing and the superpixel segmentation of the WCE images, the red ratio color feature was proposed, and the segmented images were classified by the least squares support vector machine. The experiment results showed that the proposed method can effectively detect the bleeding regions in WCE images, its sensitivity, specificity, and accuracy can reach 99%, 94%, and 95% respectively. This method can help the clinician examine the gastrointestinal diseases.

Key words: information processing, wireless capsule endoscope(WCE), bleeding detection, image segmentation, superpixel, least squares support vector machine

CLC Number: 

  • TN911.73
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