A novel method for image segmentation using reaction–diffusion model
| Autor: | Zhijun Fang, Wenying Wen, Yushu Zhang, Chuanjiang He |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Level set method
Scale-space segmentation 02 engineering and technology Level set Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Computer vision Mathematics business.industry Segmentation-based object categorization Applied Mathematics 020206 networking & telecommunications Image segmentation Real image Computer Science Applications Range (mathematics) Hardware and Architecture Computer Science::Computer Vision and Pattern Recognition Bounded function Signal Processing 020201 artificial intelligence & image processing Artificial intelligence business Algorithm Software Information Systems |
| Zdroj: | Multidimensional Systems and Signal Processing. 28:657-677 |
| ISSN: | 1573-0824 0923-6082 |
| Popis: | We propose an image segmentation model that is derived from reaction---diffusion equations and level set methods. In our model, a diffusion term is used for regularization of a level set function, and a reaction term has the desired sign property to force the level set function to move up or down and finally identify an object and its background. Our level set function can be initialized to any bounded function (e.g., a constant function). The proposed model can be applied to a wider range of images with promising results, especially for real images that have high noise and blurred boundaries. This study gives a new method for the further investigations of reaction---diffusion equations directly for segmentation. |
| Databáze: | OpenAIRE |
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