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

2010 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2010

Volumn , Issue , 2010, Pages 76-81

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

^a AGENCY FOR SCIENCE   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

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

Indexed keywords

ADAPTIVE COLOR HISTOGRAM; BLEEDING DETECTION; BLOCK CLASSIFICATION; MACHINE-LEARNING; NEURAL NETWORK (NN); WIRELESS CAPSULE ENDOSCOPY;

BIOINFORMATICS; CLASSIFIERS; COLOR; CYBERNETICS; ENDOSCOPY; GRAPHIC METHODS; INTELLIGENT SYSTEMS; NEURAL NETWORKS; PIXELS; WIRELESS NETWORKS;

FEATURE EXTRACTION;

EID: 77956078298     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIS.2010.5518576     Document Type: Conference Paper

References (15)

1. C.S. Lima, D. Barbosa, J. Ramos, A. Tavares, L. Monteiro, and L. Carvalho, "Classification of Endoscopic Capsule Images by Using Color Wavelet Features, Higher Order Statistics and Radial Basis Functions," IEEE EMBS Conference, pp. 1242-1245, 2008.
2. M.K. Bashar, K. Mori, Y. Suenaga, T. Kitasaka, and Y. Mekada, "Detecting informative frames from wireless capsule endoscopic video using color and texture features," MICCAI2008.
3. th Annual International Conference of the IEEE EMBS Cite Internationale, Lyon, France, August 23-26, 2007.
4. Michal Mackiewicz, Jeff Berens and Mark Fisher, "Wireless capsule endoscopy color video segmentation", IEEE Transcations on Medical Imaging, vol. 27, no. 12, December 2008.
5. rd Edition, Prentice Hall, 2008.
6. MATLAB Image Processing Toolbox, The MathWorks, Inc., [Online]. Available: http://www.mathworks.com/products/image/
7. th Annual International IEEE EMBS Conference Vancouver, British Colimbia, Canada, August 20-24, 2008.
8. Given Imaging Ltd. [Online]. Available: http://www.givenimaging.com
9. E.A. Bashkov., N.S. Kostyukova, "Effectiveness estimation of image retrieval by 2D color histogram", Jornal of Automation and Information Sciences, 2006 (6) Page(s): 84-89.
10. M. Sonka, V. Hlavac, and R. Boyle, "Image Processing, Analysis, and Machine Vision," PWS Publishing, 1999.
11. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2005.
12. C.K. Poh, Z. Zhang, Z.Y. Liang, L. Li and J. Liu, "Feature selection and classification for wireless capsule endoscopic frames", IEEE International Conference for Biomedical, Pharmaceutical and Engineering ICPBE 2009, Singapore, December 2009.
13. S. Haykin, Neural Networks - A comprehensive foundation, New York: Mcmillan College Publishing Company, 1994.
14. The MathWorks, Inc., [Online]. Available: http://www.mathworks.com
15. rd Edition, Pearson Prentice Hall, New Jersey (2004).