Image Retrieval based on color and texture features
Ching-Hung Su, Mohd Helmy Abd Wahab, Tsai‐Ming Hsieh · 2012
In this paper, the algorithm for a novel image retrieval scheme to retrieve images is presented. We address the unique algorithm to extract the colour pixel features by the HSV colour space and the texture features of Mpeg-7 Edge Histogram Descriptor .The proposed scheme transfers each image to a quantized colour code using the regulations of the properties in compliance with HSV model and subsequently using the quantized colour code along with the texture feature of Edge Histogram Descriptor to compare the images of database. We succeed in transferring the image retrieval problem to quantized code comparison. Thus the computational complexity is decreased obviously. Our results illustrate it has merits both of the content based image retrieval system and a text based image retrieval system.