A Novel Image Retrieval Algorithm Based on Salient Closed Boundary
Zeng Zhi · 2006
Having analyzed the drawbacks of image retrieval methods based on edges, a novel image retrieval algorithm based on salient closed boundary is presented in this paper. Firstly, the ratio contour, a novel graph-based method is performed to extract salient closed boundaries from noisy images. Secondly, salient closed boundaries are selected and each salient closed boundary is described by two feature: edge magnitude histogram and edge angular histogram, the image is represented by features of salient closed boundaries. Finally, the similarities are measured by the combination of salient closed boundary magnitude histogram and its angular histogram. Experimental results demonstrate that the proposed method is efficient.