An Interactive Algorithm for Image Smoothing and Segmentation
This work introduces an interactive algorithm for image smoothing and segmentation. A non-linear partial differential equation is employed to smooth the image while preserving contours. The segmentation is a region-growing and merging process initiated around image minima (seeds), which are automati...
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| Format: | Article |
| Language: | English |
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Computer Vision Center Press
2004-07-01
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| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
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| Online Access: | https://elcvia.cvc.uab.es/article/view/71 |
| Summary: | This work introduces an interactive algorithm for image smoothing and segmentation. A non-linear partial differential equation is employed to smooth the image while preserving contours. The segmentation is a region-growing and merging process initiated around image minima (seeds), which are automatically detected, labeled and eventually merged. The user places one marker per region of interest. Accurate and fast segmentation results can be achieved for gray and color images using this simple method. |
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| ISSN: | 1577-5097 |