基于轮廓层次化特征的目标识别

he critical problem to recognize object contour is the description about contour characters. In order to solve the problem of the complexity and instability obtained by the existing contour feature description algorithms, a novel method based on hierarchical feature description of contour image is proposed. From the perspective of human cognition, a few contour feature descriptors that represent global, local and detail characters is proposed. And then these characters are combined into a four dimension vector, which is regard as feature to distinguish objects with each other. The Euclidean distance between feature vectors is used to measure the similarity between different shapes. The experimental results of Kimia-99 database indicate that this hierarchical description is more advantage then the traditional feature description methods. Furthermore, it performs better in shape recognition and image similarity matching in terms of robustness.