| Presentation | 2014-10-09 A Study of Image Binarization based on Digital Flow Analysis Kenji HONDA, Makoto SATO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | For image recognition and understanding, it is one of the fundamental problems to binarize the gray-scaled image and divide the image into a target and a background. The threshold-based method is now used commonly in the image binarization. Threshold-based method set threshold based on the valley appearing in histogram of the gray value and the derivative value in the image. However, this method is ineffective against the image to meet the above condition. It is necessary to analyze the geometric structure to execute the image binarization notwithstanding the conditions of the image. The arbitrary curve generate a flow field based on the its gradient because of the differential geometric property. Therefore, in this article, we define the slope lines that describe the structures of curve very well. These lines emanate from the same maximum, and reach the same minimum. We call this lines dipole flow. As a result, we show that a set of the inflection point, or zero-crossing, is classified based on its morphology, and we introduce a binarization method based on this classification. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image Binarization / Digital Flow / Gray-scaled Images |
| Paper # | MVE2014-38 |
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| Conference Information | |
| Committee | MVE |
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| Conference Date | 2014/10/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Media Experience and Virtual Environment (MVE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Image Binarization based on Digital Flow Analysis |
| Sub Title (in English) | |
| Keyword(1) | Image Binarization |
| Keyword(2) | Digital Flow |
| Keyword(3) | Gray-scaled Images |
| 1st Author's Name | Kenji HONDA |
| 1st Author's Affiliation | Faculty of Marine Technology, Tokyo University of Marine Science and Technology() |
| 2nd Author's Name | Makoto SATO |
| 2nd Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology |
| Date | 2014-10-09 |
| Paper # | MVE2014-38 |
| Volume (vol) | vol.114 |
| Number (no) | 239 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |