Abnormal image detection in endoscopy videos using a filter bank and local binary patterns

Neurocomputing

Volumn 144, Issue , 2014, Pages 70-91

  Nawarathna, Ruwan ^a   Oh, JungHwan ^a   Muthukudage, Jayantha ^a   Tavanapong, Wallapak ^b   Wong, Johnny ^b   de Groen, Piet C ^c   Tang, Shou Jiang ^d  

^a UNIVERSITY OF NORTH TEXAS   (United States)

^b Iowa State University   (United States)

^c Mayo Clinic College of Medicine   (United States)

^d UNIVERSITY OF MISSISSIPPI MEDICAL CENTER   (United States)

Author keywords

Colonoscopy; Filter bank; Local binary pattern; Texton; Texton dictionary; Wireless capsule endoscopy

Indexed keywords

CONTENT BASED RETRIEVAL; ENDOSCOPY; FILTER BANKS; GRAPHIC METHODS; IMAGE SEGMENTATION; TEXTURES;

COLONOSCOPY; LOCAL BINARY PATTERNS; TEXTON; TEXTON DICTIONARIES; WIRELESS CAPSULE ENDOSCOPY;

IMAGE TEXTURE;

ARTICLE; AUTOMATED PATTERN RECOGNITION; CAPSULE ENDOSCOPY; COLONOSCOPY; DIGITAL FILTERING; ENDOSCOPY; FILTER BANK; HISTOGRAM; IMAGE ANALYSIS; IMAGE PROCESSING; K NEAREST NEIGHBOR; LOCAL BINARY PATTERN; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY;

EID: 84905975432     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.02.064     Document Type: Article

References (36)

1. Adler D.G., Gostout C.J. State of art:wireless capsule endoscopy. J. Hosp. Phys. 2003, 39(2):14-17.
2. Coimbra M., Mackiewicz M., Fisher M., Jamieson C., Scares J., Cunha J.P.S. Computer vision tools for capsule endoscopy exam analysis. EURASIP Newslett. 2007, 18(2):1-19.
3. Eliakim R. Video capsule endoscopy of the small bowel. Curr. Opin. Gastroenterol. 2008, 24(2):159-163.
4. Colorectal Cancer Facts and Figures 2005, 1-20. American Cancer Society, American Cancer Society Special Edition.
5. Gonzalez R.C., Woods R.E. Digital Image Processing 2008, 776-778. Prentice Hall, New Jersy. third ed.
6. Julesz B. Texton, the elements of texture perception, and their interactions. Nature 1981, 290(5802):91-97.
7. Leung T., Malik J. Representing and recognizing the visual appearance of materials using three-dimensional textons. Comput. Vis. 2001, 43(1):29-44.
8. M. Varma, A. Zisserman, Classifying images of materials: achieving viewpoint and illumination independence, in: Proceedings of European Conference in Computer Vision, 2002, pp. 255-271.
9. Varma M., Zisserman A. A Statistical approach to texture classification from single images. Comput. Vis.: Spec. Issue Texture Anal. Synth. 2005, 62(1-2):61-81.
10. Lei Z., Li S.Z., Chu Rufeng, Zhu Xiangxin Face recognition with local gabor textons. Lect. Notes Comput. Sci. 2007, 4642:49-57.
11. Liu G.H., Yanga J.-Y. Image retrieval based on the texton co-occurrence matrix. Pattern Recognit. 2008, 41(12):3521-3527.
12. Ojala T., Pietikainen M., Harwood D. A comparative study of texture measures with classification based on featured distributions. Pattern Recognit. 1996, 29(1):51-59.
13. Duda R.O., Hart P.E., Stork D.G. Pattern Classication 2001, 517-581. John Wiley and Sons, New York.
14. Coimbra M.T., Cunha J.P.S. MPEG-7 visual descriptors-contributions for automated feature extraction in capsule endoscopy. IEEE Trans. Circuits Syst. Video Technol. 2006, 16(5):628-637.
15. B. Penna, T. Tilloy, M. Grangettoz, E. Magli, G. Olmo, A technique for blood detection in Wireless Capsule Endoscopy images, in: Proceedings of 17th European Signal Processing Conference (EUSIPCO[U+05F3]09), Glasgow, Scotland, August 2009, pp. 1864-1868.
16. Li B., Meng M.Q.-H. Texture analysis for ulcer detection in capsule endoscopy images. Image Vis. Comput. 2009, 27(9):1336-1342.
17. B. Li, M.Q.-H. Meng, L. Xu, A comparative study of shape features for polyp detection in wireless capsule endoscopy images, in: Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC[U+05F3]09), Minneapolis, MN, USA, September 2009, pp. 373-3734.
18. B. Li, M.Q.-H. Meng, Small bowel tumor detection for Wireless Capsule Endoscopy images using textural features and support vector machine, in: Proceedings of IEEE/RSJ International Conference in Intelligent Robots and Systems (IROS[U+05F3]09), St. Louis, MO, USA, October 2009, pp. 498-503.
19. A. Karargyris, N. Bourbakis, Identification of ulcers in Wireless Capsule Endoscopy videos, in: Proceedings of IEEE International Symposium in Biomedical Imaging: From Nano to Macro (ISBI[U+05F3]09), Boston, Massachusetts,USA, June-July 2009, pp. 554-557.
20. A. Karargyris, N. Bourbakis, Identification of polyps in Wireless Capsule Endoscopy videos using Log Gabor Filters, in: Proceedings of IEEE/NIH Life Science Systems and Applications Workshop (LiSSA[U+05F3]09), Bethesda, Maryland, USA, April 2009, pp. 143-147.
21. D.J.C. Barbosa, J. Ramos, J.H. Correia, C.S. Lima, Automatic detection of small bowel tumors in Capsule Endoscopy based on color curvelet covariance statistical texture descriptors,in: Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC[U+05F3]09), Minneapolis, MN, USA,September 2009, pp. 6683-6686.
22. Hwang S. Bag-of-visual-words approach to abnormal image detection in wireless capsule endoscopy videos, advances in visual computing. Lect. Notes Comput. Sci. 2011, 6939:320-327.
23. S. Zhang, W. Yang, Y.L. Wu,R. Yao,S.D. Cheng, Abnormal region detection in gastroscopic images by combining classifiers on neighboring patches, in: International Conference on Machine Learning and Cybernetics (ICMLC[U+05F3] 09), Baoding, Hebei, China, July 2009, 4, pp. 2374-2379.
24. S. Hwang, J. Oh, J. Lee, Y. Cao, D. Liu, W. Tavanapong, J. Wong, P.C. de Groen, Automatic measurement of quality metrics for colonoscopy videos, in: Proceedings of the 13th ACM International Conference on Multimedia (ACM Multimedia[U+05F3] 2005), Hilton, Singapore, November 2005, pp. 912-921.
25. S. Hwang J. Oh, W. Tavanapong, J. Wong, P.C. de Groen, Polyp detection in colonoscopy videos using elliptical shape feature, in: Proceedings of the IEEE International Conference on Image Processing (ICIP[U+05F3]07), San Antonio, TX, USA, September 2007, vol. 2, pp. 465-468.
26. S. Hwang, J. Oh, W. Tavanapong, J. Wong, P.C. de Groen. Automatic polyp segmentation for colonoscopy image using Watershed algorithm and ellipse fitting method, in: Proceedings of SPIE Medical Imaging, San Diego, CA, USA, February 2007, vol. 6514, pp. 65141D-1-12.
27. L. Alexandre, N.N. Nobre, J.C. Casteleiro, Color and position versus texture features for endoscopic polyp detection, in: Proceedings of the International Conference on BioMedical Engineering and Informatics, Sanya, China, May 2008, vol. 1, pp. 38-42.
28. D.C. Cheng, W.C. Ting, Y.F. Chen, Q. Pu, X.Y. Jiang, Colorectal polyps detection using texture features and support vector machine, in: Proceedings of the 3rd international Conference on Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry (MDA[U+05F3]08), Leipzig, Germany, July 2008, pp. 62-72.
29. Park S.Y., Sargent D., Spofford I., Vosburgh K.G., A-Rahim Y. A colon video analysis framework for polyp detection. IEEE Trans. Biomed. Eng. 2012, 59(5):1408-1418.
30. Wang Y., Tavanapong W., Wong J., Oh J., de Groen P.C. Part-based multi-derivative edge cross-section profiles for polyp detection in colonoscopy. IEEE J. Biomed. Health Inf. 2013, 99.
31. Ameling S., Wirth S., Paulus D Methods for Polyp Detection In Colonoscopy Video: A Review 2008, University of Koblenz-Landau.
32. M. Varma, A. Zisserman, Texture classification: are filter banks necessary? In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR[U+05F3]03), Madison, Wisconsin, June 2003, vol. 2, pp. 691-698.
33. Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., Witten I.H. The WEKA data mining software: An update. SIGKDD Explor. 2009, 11(1).
34. Tan X., Triggs B. Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Trans. Image Process. 2010, 19(6):1635-1650.
35. Zhang B., Gao Y., Zhao S., Liu J. Local derivative pattern versus local binary pattern: face recognition with high-order local pattern descriptor. IEEE Trans. Image Process. 2010, 19(2):533-544.
36. http://www.mathworks.com/matlabcentral/fileexchange/29800-scenesobjects-classification-toolbox/content/reco_toolbox/html/demo_mlhmsldp_spyr.html.