Image Retrieval Algorithm Based on Multi-feature Fusion
Xie Li · Jisuanji gongcheng · 2012
In order to effectively extract and describe the image feature and improve image retrieval performance,this paper presents a novel image retrieval algorithm based on fusion of texture,color and shape features.The color image edge is detected,and by means of edge image transform,a motif transformed image is obtained.A Motif Co-occurrence Matrix(MCM) is obtained through traversal of the motif transformed image,and the algorithm calculates the gradient of the all motifs of the motif transformed image to get the motif gradient histogram.It obtains the color histogram by uniformly quantize the RGB color image into 64 colors.The image characteristic is described by three image features and it is used to image retrieval.Experimental results indicate that the algorithm has higher precision and recall rate compared with BCTF and MCM algorithm.It can reduce computational complexity.