Image retrieval using colour and texture features of Regions Of Interest
E. R. Vimina, K. Poulose Jacob · 2012
This paper proposes a region based image retrieval system using the local colour and texture features of image sub regions. The Regions Of Interest (ROI) are roughly identified by segmenting the image into fixed partitions, finding the edge map and filling the holes in edge map. The colour and texture features of the ROIs are computed from the histograms of the quantized HSV colour space and Gray Level Co-occurrence Matrix (GLCM) respectively. A combined colour and texture feature vector is computed for each ROI and Euclidean distance measure is used for computing the distance between the features of the query and target image. Preliminary experimental results show that the proposed method provides better retrieving result than some of the existing methods.