Color and Texture Features for Image Indexing and Retrieval
Subrahmanyam Murala, Anil Balaji Gonde, Rudra Prakash Maheshwari · 2009
The novel approach combines color and texture features for content based image retrieval (CBIR). The color and texture features are obtained by computing the mean and standard deviation on each color band of image and sub-band of different wavelets. The standard Wavelet and Gabor wavelet transforms are used for decomposing the image into sub-bands. The retrieval results obtained by applying color histogram (CH) + Gabor wavelet transform(GWT) to a 1000 image database demonstrated significant improvement in precision and recall, compared to the color histogram (CH), wavelet transform (WT), wavelet transform + color histogram (WT + CH) and Gabor wavelet transform (GWT).