Automatic detection of informative frames from wireless capsule endoscopy images

References 

1. Arivazhagan S, Ganesan L. Texture classification using wavelet transform. Pattern Recognition Letters. 2003;24(9–10):1513–1521
2. Berens J, Mackiewicz M, Bell GD. Stomach intestine and colon tissue discriminators for wireless capsule endoscopy images. Proceedings of SPIE. 2005;5747:283–290
3. Burges CJ. A tutorial on support vector machines for pattern recognition. In:  Fayyad U editors. Data Mining and Knowledge Discovery. Kluwer Academic; 1998;p. 1–43
4. Chang, C.-C., Lin, C.-J., 2001. LIBSVM: a library for support vector machines. <http://www.csie.ntu.edu.tw/cjlin/libsvm>.
5. Chapelle Oliver, Haffner Patrick, Vapnik Vladimir N. Support vector machines for histogram-based image classification. IEEE Transactions on Neural Networks. 1999;10(5):1055–1064
6. Fukunaga K. Introduction to Statistical Pattern Recognition. San Francisco, USA: Morgan Kaufman; 1990;
7. Gonzalez R, Woods R, Eddins SL. Digital Image Processing using Matlab. New Jersey: Pearson Prentice-Hall; 2004;
8. Iddan G, Meron G, Glukhovsky A, Swain P. Wireless capsule endoscopy. Nature. 2000;405:725–729
   • MEDLINE
   • CrossRef
9. Jacovitti G, Neri A. Multiresolution circular harmonic decomposition. IEEE Transactions on Signal Processing. 2000;48(11):3242–3247
10. Jain AK. Fundamental of Digital Image Processing. New Delhi: Prentice-Hall of India; 1995;
11. Kim, B.Y., Kim, H.J. Jang, S.J., 1999. Image retrieval based on color coherence. In: Proceedings of IEEE Region 10 Conference (TENCON 99), vol. 1, pp. 178–181.
12. Kim SM, Park SJ, Won CS. Image retrieval via query-by-layout using MPEG-7 visual descriptors. ETRI Journal. 2007;29(2):246–248
13. Mallat S. The theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1989;11(7):654–693
14. Manjunath BS, Ohm J-R, Vasudevan VV, Yamada A. Color and texture descriptors. IEEE Transactions on Circuit and Systems for Video Technology. 2001;11(6):703–715
15. Mercier, G., Lennon, M., 2003. Support vector machines for hyperspectral image classification with spectral-based kernels. In: IEEE International Symposium in Geoscience and Remote Sensing, vol. 1. July 21–25, 2003, Brest, France, pp. 288–290.
16. Neri Alessandro, Jacovitti Giovanni. Maximum likelihood localization of the 2-D patterns in the Gauss-Laguerre transform domain: theoretic framework and preliminary results. IEEE Transactions on Image Processing. 2004;13(1):72–85
17. Nestares O, Navarro R, Portilla J, Tabernero A. Efficient spatial domain implementation of a multiscale image representation based on Gabor functions. Journal of Electronic Imaging. 1998;7:166–173
18. Oh J-H, Hwang S, Lee J-k, Tavanapong W, Wong J, de Groen PC. Informative frame classification for endoscopic video. Medical Image Analysis. 2007;11:110–127
    • Abstract
    • Full Text
    • Full-Text PDF (1731 KB)
    • CrossRef
19. Ohta Y, Kanade T, Sakai T. Color information for region segmentation. Computer Graphics and Image Processing. 2004;13(3):222–241
20. Otsu N. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics. 1979;9:62–66
21. Scheunders P, Livens S, Van de Wouwer G, Vautrot P, Van Dyck D. Wavelet-based texture analysis. International Journal on Computer Science and Information Management. 1997;
22. Sergyan, S., 2007. Color content-based image classification. In: Proceeding of the 5th Slovakian–Hungarian Joint Symposium on Applied Machine Intelligence, January 25–26, 2007.
23. Sorgi Lorenzo, Cimminiello Nicola, Neri Alessandro, 2006. Keypoints selection in the Gauss Laguerre transformed domain. In: Proceedings of the BMVC 2006, vol. II. September 4–7, 2006, Edinburgh, pp. 539–548.
24. Stricker, M., Orengo, M., 1995. Similarity of color images. In: SPIE Storage and Retrieval for Image and Video Databases III, vol. 2185. February 1995, pp. 381–392.
25. Swain M, Ballard D. Indexing via color histograms. International Journal of Computer Vision. 1991;7:11–32
26. Vapnick VN. Statistical Learning Theory. John Wiley and Sons, Inc.; 1998;
27. Vilarino F, Kuncheva L, Radeva P. Roc curves and video analysis optimization in intestinal capsule endoscopy. Pattern Recognition Letters. 2006;27:875–881
28. Vilarino, F., Spyridonos, P., Pujol, O., Vitria, J., Radeva, P., 2006. Automatic detection of intestinal juices in wireless capsule video endoscopy. In: Proceedings of the IEEE/ICPR’06, vol. 4. August 20–24, 2006, Hong Kong, pp. 719–722.