Presentation | 2008-12-05 Edge Detection, method from noisy image Kazuhiro IGARASHI, Hiroyuki TSUJI, Tomoaki KIMURA, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In detecting edges from noisy images, successive processes of noise reduction and edge detection are typically required. However, since noise reduction causes edge degradation, it is difficult to extract exact edge information. This paper proposes a new edge detection method from images corrupted by mixed noise. The proposed method firstly detects impulse noise by using the currently processed pixel and its neighbors, while Gaussian noise is removed considering the edge condition in the local area by using Fuzzy inference. We made a comparison with conventional methods and verified the effectiveness of the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Edge detection / Mixed noise / Fuzzy inference |
Paper # | SIS2008-67 |
Date of Issue |
Conference Information | |
Committee | SIS |
---|---|
Conference Date | 2008/11/27(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 | Smart Info-Media Systems (SIS) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Edge Detection, method from noisy image |
Sub Title (in English) | |
Keyword(1) | Edge detection |
Keyword(2) | Mixed noise |
Keyword(3) | Fuzzy inference |
1st Author's Name | Kazuhiro IGARASHI |
1st Author's Affiliation | Kanagawa Institute of Technology, Faculty of Information Technology() |
2nd Author's Name | Hiroyuki TSUJI |
2nd Author's Affiliation | Kanagawa Institute of Technology, Faculty of Information Technology |
3rd Author's Name | Tomoaki KIMURA |
3rd Author's Affiliation | Kanagawa Institute of Technology, Faculty of Information Technology |
Date | 2008-12-05 |
Paper # | SIS2008-67 |
Volume (vol) | vol.108 |
Number (no) | 334 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |