| Presentation | 2001/2/1 GRAPH-BASED COLOR IMAGE SEGMENTATION USING EDGE MAGNITUDE FOR IMAGE UNDERSTANDING Hiroki Takahashi, Masayuki Nakajima, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes color image segmentation algorithm which is aimed to assist image understanding. The proposed method is based on graph-based approach and employs comparison function proposed by P.F.Felzenszwalb et.al.. At first, variable weighted gaussian smoothing filter, which is also proposed in this paper to remain edge property, is performed to an image. Next, graph is generated, in which eight neighbor pixels are defined as nodes and, the distance of color in L^*u^*v^* color space and edge magnitude are defined as edge weights. Based on this graph, image is segmented. Finally, the segmented regions are integrated using inclusion relation among regions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | |
| Paper # | IE2000-175 |
| Date of Issue |
| Conference Information | |
| Committee | IE |
|---|---|
| Conference Date | 2001/2/1(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Image Engineering (IE) |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | GRAPH-BASED COLOR IMAGE SEGMENTATION USING EDGE MAGNITUDE FOR IMAGE UNDERSTANDING |
| Sub Title (in English) | |
| Keyword(1) | |
| 1st Author's Name | Hiroki Takahashi |
| 1st Author's Affiliation | Graduate School of Information Science & Engineering, Tokyo Institute of Technology() |
| 2nd Author's Name | Masayuki Nakajima |
| 2nd Author's Affiliation | Graduate School of Information Science & Engineering, Tokyo Institute of Technology |
| Date | 2001/2/1 |
| Paper # | IE2000-175 |
| Volume (vol) | vol.100 |
| Number (no) | 615 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |