Name
Abstract | ||
|---|---|---|
This paper proposes an enhanced snake algorithm using the proximal edge search method. The proposed algorithm adds a new energy term called "proximal edge search" to the existing greedy algorithm without any passive adjustment of weight. The new energy term is represented by the distance between the snake point and the edge when there is a proximal edge. This modified algorithm could improve the accuracy by acquiring the detailed contour of complex objects and actively resolve the passive determination of weight. The validity of the proposed method was proven through experiments. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74472-6_90 | ICCSA (1) |
Keywords | Field | DocType |
greedy algorithm | Mathematical optimization,Computer science,Algorithm,Greedy algorithm | Conference |
Volume | ISSN | ISBN |
4705 | 0302-9743 | 3-540-74468-1 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| jeonghee cha | 1 | 0 | 2.70 |
| Gye-Young Kim | 2 | 116 | 24.67 |