@article{(Open Science Index):https://publications.waset.org/pdf/703, title = {Shape-Based Image Retrieval Using Shape Matrix}, author = {C. Sheng and Y. Xin}, country = {}, institution = {}, abstract = {Retrieval image by shape similarity, given a template shape is particularly challenging, owning to the difficulty to derive a similarity measurement that closely conforms to the common perception of similarity by humans. In this paper, a new method for the representation and comparison of shapes is present which is based on the shape matrix and snake model. It is scaling, rotation, translation invariant. And it can retrieve the shape images with some missing or occluded parts. In the method, the deformation spent by the template to match the shape images and the matching degree is used to evaluate the similarity between them.}, journal = {International Journal of Computer and Information Engineering}, volume = {1}, number = {11}, year = {2007}, pages = {3744 - 3747}, ee = {https://publications.waset.org/pdf/703}, url = {https://publications.waset.org/vol/11}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 11, 2007}, }