Computer-based detection of bleeding and ulcer in wireless capsule endoscopy images by chromaticity moments

Computers in Biology and Medicine

Volumn 39, Issue 2, 2009, Pages 141-147

  Li, Baopu ^a   Meng, Max Q H ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Color features; Illumination invariant; Tchebichef polynomials; Wireless capsule endoscopy image

Indexed keywords

CHROMATICITY MOMENTS; COLOR FEATURES; COMPUTERIZED METHODS; GASTRO-INTESTINAL TRACTS; GASTROINTESTINAL DISEASE; GIVEN IMAGING; HSI COLOR SPACES; ILLUMINATION INVARIANT; IMAGE DATUM; NEURAL NETWORK CLASSIFIERS; NEW APPROACHES; NEW TECHNOLOGIES; SMALL BOWELS; TCHEBICHEF POLYNOMIALS; WIRELESS CAPSULE ENDOSCOPIES; WIRELESS CAPSULE ENDOSCOPY IMAGE;

COLOR; ENDOSCOPY; IMAGE ENHANCEMENT; NEURAL NETWORKS; POLYNOMIAL APPROXIMATION; POLYNOMIALS;

WIRELESS NETWORKS;

ARTICLE; CAPSULE ENDOSCOPY; COLORIMETRY; DIGESTIVE SYSTEM ULCER; GASTROINTESTINAL HEMORRHAGE; GASTROINTESTINAL TRACT; ILLUMINATION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY;

DIAGNOSIS, COMPUTER-ASSISTED; ENDOSCOPY, GASTROINTESTINAL; GASTROINTESTINAL HEMORRHAGE; HUMANS; RADIO WAVES;

EID: 59649087428     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2008.11.007     Document Type: Article

References (34)

1. Parker S., Tong T., Bolden S., and Wingo P. Cancer statistics 1997. CA Cancer J. Clin. 47 (1997) 5-27
2. D.G. Adeler, C.J. Gostout, Wireless capsule endoscopy, Hosp. Physician May (2003) 14-22.
3. R.D. Francis, Sensitivity and specificity of the red blood identification (RBIS) in video capsule endoscopy, in: Proceedings of the Third International Conference on Capsule Endoscopy, February 2004, Miami, FL, USA.
4. S. Hwang, J.H. Oh, J. Cox, S.J. Tang, H.F. Tibbals, Blood detection in wireless capsule endoscopy using expectation maximization clustering, in: Proceedings of SPIE on Medical Imaging, vol. 6144, 2006, pp. 577-587.
5. J. Berens, M. Mackiewicz, D. Bell, Stomach, intestine and colon tissue discriminators for wireless capsule endoscopy images, in: Proceedings of SPIE on Medical Imaging, vol. 5747, 2005, pp. 283-290.
6. Coimbra M.T., and Cunha J.P.S. MPEG-7 visual descriptors-contributions for automated feature extraction in capsule endoscopy. IEEE Trans. Circuits Syst. Video Technol. 16 5 (2006) 628-637
7. F. Vilarino, P. Spyridonos, O. Pujol, J. Vitria, P. Radeva, Automatic detection of intestinal juices in wireless capsule video endoscopy, in: Proceedings of the 18th International Conference on Pattern Recognition, vol. 4, 2006, pp. 719-722.
8. Nischik M., and Forster C. Analysis of skin erythema using true-color images. IEEE Trans. on Med. Imaging 16 (1997) 711-716
9. Zaqout I., Zainuddin R., and Baba S. Pixel-based skin color detection technique. Mach. Graphics Vision Int. J. 14 1 (2005) 61-70
10. Schmid P. Segmentation of digitized dermatoscopic images by two dimensional color clustering. IEEE Trans. Med. Imaging 18 2 (1999) 164-171
11. N. Tsumura, N. Ojima, K. Sato, Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin, in: Proceedings of ACM SIGGRAPH, vol. 22, 2003, pp. 770-779.
12. Li C.H. Regularized color clustering in medical image database. IEEE Trans. Med. Imaging 19 11 (2000) 1150-1155
13. Tjoa M.P., and Krishnan S.M. Feature extractions for the analysis of colon status from the endoscopic images. Biomed. Eng. Online 2 (2003) 1-17
14. Stanley J.R., Moss R.H., Van Stoecker W., and Aggarwal C. A fuzzy-based histogram analysis technique for skin lesion discrimination in dermatology clinical images. Comput. Med. Imaging Graphics 27 5 (2003) 387-396
15. van de Weijer J., Gevers T., and Smeulders A. Robust photometeric invariant features from the color tensor. IEEE Trans. Image Process. 15 1 (2006) 118-127
16. Teh C.H., and Chin R.T. On digital approximation of moment invariants. Comput. Vision Graphics Image Process. 33 (1986) 318-326
17. Chong C.W., Raveendran P., and Mukundan R. Translation invariants of Zernike moments. Pattern Recognition 36 8 (2003) 1765-1773
18. Fu B., and Zhou J. Image analysis by modified Legendre moments. Pattern Recognition 40 (2007) 691-704
19. Mukundan R., Ong S.H., and Lee P.A. Image analysis by Tchebichef moments. IEEE Trans. Image Process. 10 9 (2001) 1357-1364
20. Yap P.T., Paramesran R., and Ong S.H. Image analysis by Krawtchouk moments. IEEE Trans. Image Process. 12 11 (2003) 1367-1377
21. Mukundan R. Some computational aspects of discrete orthogonal moments. IEEE Trans. Image Process. 13 8 (2004) 1055-1059
22. Hilderbrand F. Introduction to Numerical Analysis (1956), McGraw-Hill, New York
23. Geusebroek J.M., Boomgarard R., Smeulders A.W.M., and Geerts H. Color invariance. IEEE Trans. PAMI 23 12 (2001) 1338-1350
24. Gevers T., and Stokman H. Robust histogram construction from color invariants for object recognition. IEEE Trans. PAMI 26 1 (2004) 113-118
25. Gevers T., Voortman S., and Aldershoft F. Color feature detection and classification by learning. IEEE Int. Conf. Image Process. 2 (2005) 714-717
26. Mukundan R., and Ramakrishnan K.R. Moment Functions in Image Analysis Theory and Applications (1998), World Scientific, Singapore
27. T. Gevers, J.V.D. Weijer, H. Stokman, Color Image Processing: Emerging Applications, CRC Press, Boca Raton, FL, 2006 (Chapter 1).
28. Tu J.V., Weinstein M.C., McNeil B.J., and Naylor C.D. The steering committee of the cardiac care network of Ontario. Predicting mortality after coronary artery bypass surgery: what do artificial neural network learn?. Med. Decision Making 18 2 (1998) 229-235
29. Haykin S. Neural Networks: A Comprehensive Foundation. second ed. (1996), Prentice-Hall, New Jersey
30. S.A. Karkanis, D.K. Iakovidis, Tumor recognition in endoscopic video images using artificial neural network architectures, In: Proceedings of 26th Euro-Micro Conference, vol. 2, Maastricht, Netherlands, 2000, pp. 423-429.
31. Maroulis D.E., and Iakovidis D.K. CoLD: a versatile detection system for colorectal lesions in endoscopy video-frames. Comput. Methods Programs Biomed. 70 (2003) 151-166
32. Aronott I.D.R., and Lo S.K. The clinical utility of wireless capsule endoscopy. Dig. Dis. Sci. 49 6 (2004) 893-901
33. Karkanis S.A., Iakovidis D.K., Maroulis D.E., Karras D.A., and Tzivras M. Computer-aided tumor detection in endoscopic video using color wavelet features. IEEE Trans. Inf. Technol. Biomed. 7 3 (2003) 141-152
34. M. Boulougoura, W. Edmund, K. Vassilis, H.S. Chowdrey, Intelligent systems for computer-assisted clinical endoscopic images analysis, In: Proceedings of the Second International Conference on Biomedical Engineering, Austria, February 16-18, 2004, pp. 405-408.