Clustering of Texture Features for Content-Based Image Retrieval-Reference-Cited by-同舟云学术

Clustering of Texture Features for Content-Based Image Retrieval

Published:2000 Issue: Volume: Page:216-225
ISSN:0302-9743
Container-title:Advances in Information Systems
language:
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Author:

Celebi Erbug,Alpkocak Adil

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-40888-6_20

Reference10 articles.

1. Aksoy, S. & Haralick, R. M. (1998). Content Based Image Database Retrieval Using Variance of Gray Level Spatial Dependencies. IAPR International Workshop on Multimedia Information Analysis & Retrieval (MINAR’98), Hong Kong.

2. Andrey P. & Tarroux P. (August 1995). Unsupervised segmentation of Markov random field modeled textured images using selection relaxation. Technical Report: BioInfo-95-03.

3. Everitt, B. S. (1980). Cluster Analysis. John Wiley & Sons.

4. Haralick, R.M. (May 1979). Statistical and structural approaches to texture. Proceedings of the IEEE, 67(5): 786–804.

5. Manjunath B.S. & Ma W.Y. (August 1996). Texture features for browsing and retrieval of image data. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 18, No:8, pp. 837–842

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