The week's pick
Reseach Article
Color and Texture based Image Retrieval
| National Conference on Advancement in Electronics & Telecommunication Engineering |
| Foundation of Computer Science USA |
| NCAETE - Number 3 |
| May 2012 |
| Authors: Harshada Anand Khutwad, Ravindra Jinadatta Vaidya |
| 87f8a3cf-fea9-47a0-a2ff-9bcc6b2d7326 |
Harshada Anand Khutwad, Ravindra Jinadatta Vaidya . Color and Texture based Image Retrieval. National Conference on Advancement in Electronics & Telecommunication Engineering. NCAETE, 3 (May 2012), 4-9.
Abstract
Content Based Image Retrieval is an interesting and most emerging field in the area of 'Image Search', finding similar images for the given query image from the image database. Current approaches include the use of color, texture and shape information. Considering these features in individual, most of the retrievals are poor in results and sometimes we are getting some non relevant images for the given query image. So, this dissertation proposes a method in which combination of color and texture features of the image is used to improve the retrieval results in terms of its accuracy. For color, color histogram based color correlogram technique and for texture wavelet decomposition technique is used. Color and texture based image retrieval computes image features automatically from a given query image and these are used to retrieve images from database
References
- Fuhui Long, Hongijang Zhang, David Dagan Feng, "Fundamentals of Content Based Image Retrieval". http://research. microsoft. com/asia/dload_files/group/mcomputing/2003P/ch01_Long_ v40-proof. pdf
- Sharmin Siddique, "A Wavelet Based Technique for Analysis and Classification of Texture Images," Carleton University, Ottawa, Canada, Project Report 70. 593, April 2002.
- Chin Chen-Chaur, Ting Chu Hsueh, "Similarity Measurement between Images", IEEE Annual International Computer Software and Applications Conference (COMPSAC'05), pp. 207-248, 2005.
- Timothy K. Shih,Jung-yao Huang,Ching-Sheng Wang,Jason C. Hung And Chuan-Ho Kao, " An intelligent content-Based image retrieval System based on color ,Shape and spatial relations" Proceedings Natl. Si. Counc. Roc(A), volume 25,No. 4, pp. 231- 243,2001.
- Virginia E. Ogle and Michael Stonebraker, "Chabot: Retrieval from a relational database of images", IEEE Computer, 28(9), pp. 40–48, September 1995.
- A. Blaser, "Database Techniques for Pictorial Applications", Lecture Notes in Computer Science, Springer Verlag GmbH, Volume 81,1979.
- J. Kreyss, M. R¨oper, P. Alshuth, Th. Hermes, and O. Herzog, "Video retrieval by still image analysis ImageMiner", In Proceedings of IS&T/SPIE's Symposium on Electronic Imaging: Science & Technologies, pp. 8-14 Feb. '97, San Jose, CA, 1997.
- S. Sclaroff, L. Taycher, and M. La Cascia, " Imagerover: A content-based image browser for the world wide web", In Proceedings IEEE Workshop on Content-based Access of Image and Video Libraries, June '97, 1997.
- Leonid Taycher, Marco La Cascia, and Stan Sclaroff, "Image digestion and relevancefeedback in the ImageRover WWW search engine", In Proceedings of the 2nd International Conference on Visual Information Systems, San Diego, December '97, pp 85–94, 1997.
- M. La Cascia and E. Ardizzone, "Jacob: Just a content-based query system for video databases", In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP96),May 7-10, '96, Atlanta, Georgia, 1996.
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