| Presentation | 2006/1/3 SKETCH-BASED FINE-TUNING OF IMAGE SEGMENTATION METHODS(International Workshop on Advanced Image Technology 2006) David GAVILAN, Hiroki TAKAHASHI, Suguru SAITO, Masayuki NAKAJIMA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A method for evaluating image segmentation methods is proposed in this paper. The method is based on a perception model where the drawing act is used to represent visual mental percepts. Each segmented image is represented by a minimal set of features and the segmentation method is tested against a groundtruth database of sketches that represent the original images, using the Mahalanobis distance function. The covariance matrix is set using a collection of sketches drawn by different users. This evaluation method can be used to solve the problem of parameter selection in image segmentation, as well as to show the goodness or limitations of the different segmentation algorithms. Different well-known color segmentation algorithms are analyzed with the proposed method and the nature of each one is discussed. This evaluation method is also compared with heuristic functions that serve for the same purpose, showing the importance of using users' pictorial knowledge. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | IE2005-202 |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 2006/1/3(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | SKETCH-BASED FINE-TUNING OF IMAGE SEGMENTATION METHODS(International Workshop on Advanced Image Technology 2006) |
| Sub Title (in English) | |
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| 1st Author's Name | David GAVILAN |
| 1st Author's Affiliation | Graduate School of Information Science & Engineering, Tokyo Institute of Technology() |
| 2nd Author's Name | Hiroki TAKAHASHI |
| 2nd Author's Affiliation | Graduate School of Information Science & Engineering, Tokyo Institute of Technology |
| 3rd Author's Name | Suguru SAITO |
| 3rd Author's Affiliation | Graduate School of Information Science & Engineering, Tokyo Institute of Technology |
| 4th Author's Name | Masayuki NAKAJIMA |
| 4th Author's Affiliation | Graduate School of Information Science & Engineering, Tokyo Institute of Technology |
| Date | 2006/1/3 |
| Paper # | IE2005-202 |
| Volume (vol) | vol.105 |
| Number (no) | 501 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |