Shape Image Retrieval Based on Integrating Weighted Skeleton Segments Features
综合加权骨架段特征的形状图像检索

This paper presented an approach on shape image retrieval based on integrating weighted skeleton segments features. Firstly, the skeleton of the object in the image was extracted. Secondly, the skeleton was partitioned into several segments according to the feature points (such as end points and junction points) which were characterized using momenu. Finally, the distance between two images could be obtained based on the principle of MSHP (Most Similar Highest Priority) to measure the similarity between pairs of the segments from two images respectively. Experiments indicate that this approach can acquire better retrieval results than that of the traditional approach based on the whole skeleton features.