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Université d'Orléans |  |
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Université d'Orléans | |
| HAL: hal-00626896, version 1 |
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| 18th IEEE International Conference on Image Processing, Bruxelles : Belgium (2011) |
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| FREE-FORM ANISOTROPY: A NEW METHOD FOR CRACK DETECTION ON PAVEMENT SURFACE IMAGES |
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| Tien Sy Nguyen 1Stéphane Begot 1 |
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| (2011-09-11) |
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| This paper presents a new measure which takes into accounts simultaneously brightness and connectivity, in the segmentation step, for crack detection on road pavement images. Features which are calculated along every free-form paths provide detection of cracks with any form and any orientation. The method proposed does not need learning stage of free defect texture to perform default detection. Experimental results were conducted on some samples of different kinds of pavements. Results of the method are also given on other kinds of images and can provide perspectives on other domains as road extraction on satellite images or segment blood vessels in retinal images. |
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| 1: | Laboratoire PRISME (PRISME) |
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Université d'Orléans : EA4229 – ENSI Bourges |
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| Subject | : | Engineering Sciences/Signal and Image processing Computer Science/Signal and Image Processing |
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| Image segmentation – crack detection – defect detection – texture analyses |
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| hal-00626896, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00626896 | |
| oai:hal.archives-ouvertes.fr:hal-00626896 | |
| From: Florent Duculty | |
| Submitted on: Tuesday, 27 September 2011 12:06:50 | |
| Updated on: Tuesday, 27 September 2011 16:42:41 | |
