Wavelet based integrated color image retrieval
S. Vidivelli, Shanmugam Sathiya Devi · 2011
Image retrieval is an active research area in numerous applications. Color and Texture is an important Low Level features for content based image retrieval and this paper proposes a method for extracting color feature using Discrete Wavelet transform and Auto-Correlogram. The Weighted Wavelet Auto-Correlogram is applied on the High frequency sub bands such as LH, HL and HH of the Y, Cb, and Cr channel of the image respectively for Color feature extraction. Similarly the texture feature such as Mean and Standard Deviation is extracted from the two level decomposed sub bands. The efficiency of the method is experimented with the subset of Corel database and compared with some existing methods such as color histogram, color correlogram and wavelet correlogram. The proposed method yields high retrieval rate.