Presentation | 1995/9/29 Medusa - Stochastic region swelling-shrinking model Taizo ANAN, Hiroyuki KUDO, Tsuneo SAITO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The existing active contour models (ACM) such as Snakes suffer from poor performances for complicated images containing nois, textures, and shadows. This is mainly because these methods are based on locally optimum energy minimization. We propose a region swelling-shrinking model called Medusa which is based on a new stochastic sampling method. We prove the global convergence property of Medusa by using the existing stochastic sampling theory. We demonstrate performances of Medusa by simulations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | region growing model / active contour model / Snakes / stochastic sampling / Gibbs sampler |
Paper # | PRU95-121 |
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Committee | PRU |
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Conference Date | 1995/9/29(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Understanding (PRU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Medusa - Stochastic region swelling-shrinking model |
Sub Title (in English) | |
Keyword(1) | region growing model |
Keyword(2) | active contour model |
Keyword(3) | Snakes |
Keyword(4) | stochastic sampling |
Keyword(5) | Gibbs sampler |
1st Author's Name | Taizo ANAN |
1st Author's Affiliation | Doctoral Program in Engineering, Univ. of Tsukuba() |
2nd Author's Name | Hiroyuki KUDO |
2nd Author's Affiliation | Institute of Information Sciences and Electronics, Univ. of Tsukuba |
3rd Author's Name | Tsuneo SAITO |
3rd Author's Affiliation | Institute of Information Sciences and Electronics, Univ. of Tsukuba |
Date | 1995/9/29 |
Paper # | PRU95-121 |
Volume (vol) | vol.95 |
Number (no) | 279 |
Page | pp.pp.- |
#Pages | 6 |
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