A Morphing of Linear Feature Based on Shape Context Matching

We introduce a shape matching method based on the shape context, and apply it to the morphing of linear features. For the two representations of the same linear feature in two different scales, to get the correspondences of the point, the shape context of every point on the shape is calculated at the very beginning. Then we compute the similarity between different points using shape histogram. The two linear features are divided into two groups of sub-segments by the matching result. Finally, using the linear interpolation method to Morphing every pair of the corresponding sub-segments. The experimental results show that during the process of matching no special landmarks or key-points of the linear features are needed. It has strong adaptability to the shape matching and greatly improve the accuracy of morphing transformation.