Detecting informative frames from wireless capsule endoscopic video using color and texture features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5242 LNCS, Issue PART 2, 2008, Pages 603-610

  Bashar, Md Khayrul ^a   Mori, Kensaku ^a   Suenaga, Yasuhito ^a   Kitasaka, Takayuki ^a   Mekada, Yoshito ^a,b  

^a NAGOYA UNIVERSITY   (Japan)

^b CHUKYO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR; ENDOSCOPY; MEDICAL COMPUTING; MEDICAL IMAGING; SUPPORT VECTOR MACHINES; TEXTURES;

COLOR AND TEXTURE FEATURES; DETECTION ACCURACY; DISCRETE WAVELETS; EMERGING TECHNOLOGIES; GAUSS-LAGUERRE TRANSFORM; THRESHOLD OPERATION; WIRELESS CAPSULE; WIRELESS CAPSULE ENDOSCOPY;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CAPSULE ENDOSCOPY; COLOR; COLORIMETRY; COMPUTER ASSISTED DIAGNOSIS; DIGESTIVE TRACT ENDOSCOPY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TELEMETRY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CAPSULE ENDOSCOPY; COLOR; COLORIMETRY; ENDOSCOPY, DIGESTIVE SYSTEM; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TELEMETRY;

EID: 58849118486     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_72     Document Type: Conference Paper

References (11)

1. Vilarino, F., Spyridonos, P., Pujol, O., Vitria, J., Radeva, P.: Automatic detection of intestinal juices in wireless capsule video endoscopy. In: Proc. IEEE/ICPR, vol. 4, pp. 719-722 (2006)
2. Vilarino, F., Kuncheva, L., Radeva, P.: Roc curves and video analysis optimization in intestinal capsule endoscopy. Pattern Recognition Letters 27, 875-881 (2006)
3. Manjunath, B.S., Ohm, J.-R., Vasidevan, V.V., Yamada, A.: Color and texture descriptors. IEEE Trans. circuit and systems for video technology 11(6) (June 2001)
4. Swain, M., Ballard, D.: Indexing via color histograms. Int. J. Comput. Vision 7, 11-32 (1991)
5. Cimminiello, L.S.N., Neri, A.: Keypoints selection in the gauss laguerre transformed domain. In: Proc. BMVC, vol. II, pp. 539-548 (2006)
6. Jacovitti, G., Neri, A.: Multiresolution circular harmonic decomposition. IEEE Trans. Signal Process 48, 3242-3247 (2000)
7. Nestares, O., Navarro, R., Portilla, J., Tabernero, A.: Efficient spatial domain implementation of a multiscale image representation based on gabor functions. J. Electronic Imaging 7, 246-248 (1998)
8. Mercier, G., Lennon, M.: Support vector machines for hyperspectral image classification with spectral-based kernels. In: Proc. IEEE symposium in Geoscience and Remote Sensing, July 21-25, 2003, vol. 1, pp. 288-290 (2003)
9. Gonzalez, R., Woods, R., Eddins, S.L.: Digital Image Processing using Matlab, 3rd edn. Pearson Prentice Hall, New Jersey (2004)
10. Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Systems Man and Cybernetics 9, 62-66 (1979)
11. Mallat, S.: The theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Patt. Anal. Mach. Intell. 11 (1989)