Name
Abstract | ||
|---|---|---|
Edge detection is the basic operation in image processing and analysis. Multiresolution sequential edge linking (MSEL) Cook and Delp (1995) has a number of advantages over other edge detection schemes, such as lower false alarm rates while maintaining full connectivity of the edge. However, it is not reasonable in the initial value selection and is time consuming. For this problem, we first use anisotropic diffusion to smooth the image while keeping the edge, and then use the feedback method to optimize the initial value. We apply our method to a medical image, and experiments show that our method is more efficient and accurate than the old MSEL. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICPR.2002.1048373 | ICPR (2) |
Keywords | Field | DocType |
markov random chain,feedback method,search problems,edge detection,multiresolution sequential edge linking,image smoothing,medical image,full connectivity,anisotropic diffusion,markov processes,medical image processing,feedback,image processing,biomedical imaging,false alarm rate,image analysis,anisotropic magnetoresistance | Anisotropic diffusion,Computer vision,False alarm,Pattern recognition,Feature detection (computer vision),Computer science,Edge detection,Image processing,Scale space,Artificial intelligence,Initial value problem,Digital image processing | Conference |
Volume | ISSN | Citations |
2 | 1051-4651 | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huiguang He | 1 | 118 | 30.75 |
| Jie Tian | 2 | 1475 | 159.24 |
| Wang Jing | 3 | 47 | 22.40 |
| Chen Hong | 4 | 21 | 11.66 |
| X. P. Zhang | 5 | 0 | 0.34 |