Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
527466 | Image and Vision Computing | 2008 | 8 Pages |
Abstract
This paper proposes a new method for simplifying contours based on the multi-scale analysis of the local phase. The main advantages of the proposed method are: (i) it does not use any curvature measure approximation to stand out the characteristic points. (ii) The symmetry/asymmetry points can be considered as dominant points of the contour and (iii) it provides a robust approach to suppress the contour noise. The method has been compared with a representative number of other methods using an objective measure of the quality of the generated approximation. The experimental results have shown that the proposed method is superior to those reviewed in our study.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
F.J. Madrid-Cuevas, A. Carmona-Poyato, R. Medina-Carnicer, R. Muñoz-Salinas,