Progressive texture image retrieval based on M-band wavelet features

Geomatics and Information Science of Wuhan University

Volumn 30, Issue 6, 2005, Pages 521-524

  Cheng, Qimin ^a   Yang, Chongjun ^a   Shao, Zhenfeng ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b WUHAN UNIVERSITY   (China)

Author keywords

M band wavelet; Progressive image retrieval; Texture; Wavelet histogram; Wavelet coefficient standard deviation

Indexed keywords

IMAGE ANALYSIS;

EID: 21844477034     PISSN: 16718860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Chitre Y, Dhawan A P. M-Band Wavelet Discrimination of Natural Textures. Pattern Recognition, 1999, 32 (5) : 773-789
2. Acharyya M, Kundu M K. An Adaptive Approach to Unsupervised Texture Segmentation Using M-Band Wavelet Transform. Signal Processing, 2001,81(7) : 1 337-1 356
3. Kokare M, Chatterji B N, Biswas P K. M-band Wavelet Based Texture Features for Content Based Image Retrieval. Electronics and Electrical Communication Engineering Department, 2002
4. Uller H M, Uller W M, Squire D M, et al. Performance Evaluation in Content-based Image Retrieval: Overview and Proposals. Pattern Recognition Letters, 2001, 22(5) :593-601