Name
Title | ||
|---|---|---|
Noise removal from polygonal shapes using combined inverse diffusion filter and triangle method |
Abstract | ||
|---|---|---|
We introduce a method for de-noising, segmenting and measuring similarity of shapes. The proposed method consists of two techniques. First we use an inverse diffusion filter for enhancement of relevant polygonal vertices and removal of noise and irrelevant edges. Second we apply a technique that removes the vertices that form the triangles with the smallest areas. In a thorough experimental evaluation, the combined method shows successful noise suppression while preserving dominant vertices present in the input shape. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CBMI.2008.4564995 | London |
Keywords | Field | DocType |
filtering theory,image denoising,image enhancement,image segmentation,inverse diffusion filter,irrelevant edges,noise removal,noise suppression,polygonal shapes,polygonal vertices,shape similarity,triangle method,Diffusion,digital curves,discrete curve evolution,enhancement,shape hierarchy,total curvature,turning function | Computer vision,Inverse,Polygon,Total curvature,Vertex (geometry),Computer science,Image segmentation,Pixel,Artificial intelligence,Diffusion filter,Polygonal chain | Conference |
ISSN | ISBN | Citations |
1949-3983 | 978-1-4244-2044-5 | 1 |
PageRank | References | Authors |
0.39 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert B. Vincelette | 1 | 1 | 0.39 |
| Claude Tameze | 2 | 1 | 0.39 |
| Vesna Zeljkovic | 3 | 1 | 0.39 |
| Ebroul Izquierdo | 4 | 1 | 0.39 |