Content-based image retrieval using color and texture fused features

Mathematical and Computer Modelling

Volumn 54, Issue 3-4, 2011, Pages 1121-1127

  Yue, Jun ^a,b   Li, Zhenbo ^b   Liu, Lu ^b   Fu, Zetian ^b  

^a LUDONG UNIVERSITY   (China)

^b CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Color; Content based image retrieval; HSV; Texture

Indexed keywords

CBIR SYSTEM; CO-OCCURRENCE-MATRIX; COLOR AND TEXTURE FEATURES; COLOR HISTOGRAM; CONTENT BASED IMAGE RETRIEVAL; FEATURE RETRIEVAL; FEATURE VECTORS; FORM FEATURES; HSV; HSV COLOR SPACES; LOCAL COLOR; TEXTURE FEATURES;

CONTENT BASED RETRIEVAL; GRAPHIC METHODS; TEXTURES;

COLOR;

EID: 79956093190     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2010.11.044     Document Type: Article

References (21)

1. Muneesawang P., Guan L. An interactive approach for CBIR using a network of radial basis functions. IEEE Transactions on Multimedia 2004, 6:703-716.
2. Datta R., Joshi D., Li J., Wang J.Z. Image retrieval: ideas, influences, and trends of the new age. ACM Computing Surveys 2008, 40(2):1-60.
3. W. Niblack, R. Barber, W. Equitz, et al., The QBIC project: querying images by content using color, texture, and shape, in: SPIE 1908, San Jose, CA, 1993, pp. 173-187.
4. A. Pentland, R.W. Picard, S. Scarloff, Photobook: tools for content-based manipulation of image databases, in: SPIE 2185, San Jose, CA, 1994, pp. 34-47.
5. S. Mehrotra, Y. Rui, M. Ortega, et al., Supporting content-based queries over images in MARS, in: Proc. of IEEE Int'l Conf. on Multimedia Computing and Systems'97, Ottawa, Ontario, Canada, 1997, pp. 632-633.
6. J.R. Bach, C. Fuller, A. Gupta, et al., Virage image search engine: an open framework for image management, in: SPIE 2670, 23, San Jose, CA, 1996, pp. 76-87.
7. J.R. Smith, Integrated spatial and feature image systems: retrieval, analysis and compression, Ph.D. Dissertation, Columbia University, New York City, 1997.
8. Wang J.Z., Li J., Wiederhold G. SIMPLIcity: semantics-sensitive integrated matching for picture libraries. IEEE Transactions on Pattern Analysis and Machine Intelligence 2001, 23(9):947-963.
9. Smeulders A.W., Worring M., Santini S., Gupta A., Jain R. Content-based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence 2000, 22(12):1349-1380.
10. Muller H., Michoux N., Bandon D., Geissbuhler A. A review of content-based image retrieval systems in medical applications-clinical benefits and future directions. International Journal of Medical Informatics 2004, 73:1-23.
11. Gagaudakis G., Rosin P.L. Incorporating shape into histograms for CBIR. Pattern Recognition 2002, 35:81-91.
12. P.S. Hiremath, Jagadeesh Pujari, Content based image retrieval using color, texture and shape features, in: 15th International Conference on Advanced Computing and Communications, ADCOM 2007, 2007, pp. 780-784.
13. Chan Y.K., Chen C.Y. Image retrieval system based on color-complexity and color-spatial features. Journal of Systems and Software 2004, 71:65-70.
14. Manjunath B.S., Ohm J.-R., Vasudevan V.V., Yamada A. Color and texture descriptors. IEEE Transactions on Circuits and Systems for Video Technology 2001, 11(6):703-715.
15. Y. Lu, C. Hu, X. Zhu, H. Zhang, Q. Yang, A unified framework for semantics and feature based relevance feedback in image retrieval systems, in: Proceedings of the ACM International Conference on Multimedia, 2000.
16. Mezaris V., Kompatsiaris I., Strintzis M.G. An ontology approach to object-based image retrieval. Proceedings of the ICIP 2003, vol. II:511-514.
17. Sethi I.K., Coman I.L. Mining association rules between low-level image features and high-level concepts. Proceedings of the SPIE Data Mining and Knowledge Discovery 2001, vol. III:279-290.
18. Rui Y., Huang T.S., Ortega M., Mehrotra S. Relevance feedback: a power tool for interactive content-based image retrieval. IEEE Transactions on Circuits and Systems for Video Technology 1998, 8(5):644-655.
19. Zhuang Y., Liu X., Pan Y. Apply semantic template to support content-based image retrieval. Proceedings of the SPIE, Storage and Retrieval for Media Databases 1999, vol. 3972:442-449.
20. Yuan X., Wu C., Zhu M., Wang D. CBIR retrieval based on dominant color selection. Journal of Computer Research and Development 2002, 39(9):1120-1125.
21. Wang H., Shi P. An approach for feature extraction of texture images. Journal of Communication University of China (Science and Technology) 2006, 13(1):49-52.