Content-based Image Retrieval Using Color Position and Texture Fused Features
Huang Re · 2014
Content-based image retrieval is an important and fascinating point in the image retrieval.An image retrieval algorithm based on multiple features was proposed in this paper.First,the color image was transferred into HSV color space,quantized by unequal quantification method,and extracting color feature and each color position message.Then,we implemented image fractal coding based on the center area of the original gray image,and fractal coding parameters are used as texture features.After normalizing each component of the vector and different features by Gaussian normalization method,we combined the color features and the texture features for image retrieval using artificial fish swarm algorithm.The experiment results show that the algorithm can produce good performance in terms of the retrieval effect and the retrieval speed.