Multi-level local feature classification for bleeding detection in Wireless Capsule Endoscopy images

Chee Khun Poh, That Mon Htwe, Liyuan Li, Weijia Shen, Jiang Liu, Joo Hwee Lim, Kap Luk Chan, Ping Chun Tan

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

19 Citations (Scopus)

Abstract

This paper presents a novel multi-level approach for bleeding detection in Wireless Capsule Endoscopy (WCE) images. In the low-level processing, each cell of K×K pixels is characterized by an adaptive color histogram which optimizes the information representation for WCE images. A Neural Network (NN) cell-classifier is trained to classify cells in an image as bleeding or non-bleeding patches. In the intermediate-level processing, a block which covers 3×3 cells is formed. The intermediate-level representation of the block is generated from the low-level classifications of the cells, which captures the spatial local correlations of the cell classifications. Again, a NN block-classifier is trained to classify the blocks as bleeding or non-bleeding ones. In the high-level processing, the low-level cell-based and intermediate-level block-based classifications are fused for final detection. In this way, our approach can combine the low-level features from pixels and intermediate-level features from local regions to achieve robust bleeding detection. Experiments on real WCE videos have shown that the proposed method of multi-level classification is not only accurate in both detection and localization of potential bleedings in WCE images but also robust to complex local noisy features.

Original languageEnglish
Title of host publication2010 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2010
Pages76-81
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2010 - Singapore, Singapore
Duration: 28 Jun 201030 Jun 2010

Publication series

Name2010 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2010

Conference

Conference2010 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2010
Country/TerritorySingapore
CitySingapore
Period28/06/1030/06/10

Keywords

  • Adaptive color histogram
  • Bleeding detection
  • Block classification
  • Feature extraction
  • Machine-learning
  • Neural Network (NN)
  • Wireless Capsule Endoscopy (WCE)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Software

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