Content-based medical image retrieval system for color endoscopic images

Advanced Materials Research

Volumn 798, Issue , 2013, Pages 1022-1025

  Wu, Xian Wei ^a   Yang, Yu Bing ^a   Yu, Wen Yang ^a  

^a NINGBO DAHONGYING UNIVERSITY   (China)

Author keywords

Color correlograms; Color histograms; SPCA

Indexed keywords

COLOR CORRELOGRAMS; COLOR HISTOGRAM; CONTENT-BASED MEDICAL IMAGE RETRIEVAL SYSTEM; ENDOSCOPIC IMAGE; SPCA;

ENDOSCOPY; EXPERIMENTS; GRAPHIC METHODS; IMAGE RETRIEVAL;

COLOR;

EID: 84886256192     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.798-799.1022     Document Type: Conference Paper

References (14)

1. Ghosh, P., et al. Review of medical image retrieval systems and future directions. in Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on. 2011.
2. Hafner, M., et al. Optimized selection of weak methods for the classification of endoscopic images using an ensemble classifier. in Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on. 2011.
3. Swain, M. J. and D. H. Ballard. Indexing via color histograms. in Computer Vision, 1990. Proceedings, Third International Conference on. 1990.
4. Smith, J. R. and S. Chang, Integrated Spatial and Feature Image Query. Multimedia Systems, 1996. 7: p. 129-140.
5. Swain, M. J. and D. H. Ballard, Color indexing. International Journal of Computer Vision, 1991. 7: p. 11-32.
6. Jing, H., et al. Image indexing using color correlograms. in Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on. 1997.
7. An, Z., et al. Image Retrieval Based On the Color-Spatial Distribution Feature of Generalized Images. in Education Technology and Computer Science (ETCS), 2010 Second International Workshop on. 2010.
8. Chen, L. and W. Zhou. Multi-feature Method: An Integrated Content Based Image Retrieval System. in Intelligence Information Processing and Trusted Computing (IPTC), 2011 2nd International Symposium on. 2011.
9. Sinha, U. and H. Kangarloo, Principal component analysis for content-based image retrieval. Radiographics, 2002. 22(5): p. 1271-89.
10. Haykin, S., Neural Networks: A Comprehensive Foundation. 2nd ed. 1998, Upper Saddle River, NJ, USA: Prentice Hall PTR.
11. Takimoto, H., et al. A design of face detection system using the GA and the simple PC A. in Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on. 2002.
12. Yanxue, D. Multi-feature based medical image retrieval. in Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on. 2012.
13. Jun, Y. and Z. Shi-jiao. Narrowing Semantic Gap in Content-based Image Retrieval. in Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2012 International Conference on. 2012.
14. Chengjun, L. and S. Guangwei. A method of measuring the semantic gap in image retrieval: Using the information theory. in Image Analysis and Signal Processing (IASP), 2011 International Conference on. 2011.