Image retrieval based on color and motif characteristics
Yun Cheng · Journal of Computer Applications · 2013
In order to improve image retrieval performance,this paper proposed a new image retrieval algorithm based on motif and color features.The color image edge gradient was detected,and by means of edge gradient image transform,a motif image was obtained.Adopting the gravity center of motif image as the datum point,the distances of all points were calculated to the datum point to get the motif center distance histogram.The all motifs of the motif image were projected in four different directions to get motif projective histogram.Color image was uniformly quantized into 64-color space from RGB space to obtain the color histogram.The above three histograms described image features for image retrieval.The experimental results show that the algorithm has high precision and recall.