Presentation | 2013-09-12 Unsupervised Structuring Element Estimation of Morphological Opening and Closing with GA Yosuke NABETANI, Mitsuji MUNEYASU, Akira ASANO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose an unsupervised design method for optimal structuring element (SE) of morphological filters. We formulate the design of SE as an optimization problem, and estimate an optimal shape and brightness of SE directly from degraded images. We estimated an optimal shape and brightness by using a Genetic Algorithm (GA). Estimation of SE that can remove noise while preserving original signals is achieved by objective function that use Rank-Ordered Logarithmic Differences (ROLD) statistic for the impulse noise detection. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | opening / ROLD / structuring element / genetic algorithm / mathematical morphology |
Paper # | SIS2013-20 |
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Committee | SIS |
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Conference Date | 2013/9/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Unsupervised Structuring Element Estimation of Morphological Opening and Closing with GA |
Sub Title (in English) | |
Keyword(1) | opening |
Keyword(2) | ROLD |
Keyword(3) | structuring element |
Keyword(4) | genetic algorithm |
Keyword(5) | mathematical morphology |
1st Author's Name | Yosuke NABETANI |
1st Author's Affiliation | Faculty of Engineering Science, Kansai University() |
2nd Author's Name | Mitsuji MUNEYASU |
2nd Author's Affiliation | Faculty of Engineering Science, Kansai University |
3rd Author's Name | Akira ASANO |
3rd Author's Affiliation | Faculty of Informatics, Kansai University |
Date | 2013-09-12 |
Paper # | SIS2013-20 |
Volume (vol) | vol.113 |
Number (no) | 202 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |