Abstract
Image segmentation is the basic problem of image processing and computer vision, and it's also the key step from image processing to image analysis. The existing image segmentation methods were firstly reviewed and then the concept of multi-scale local features was introduced. A region-driven image segmentation of multi-scale local energy was proposed later. Finally, these algorithms were evaluated by the manual segmentation result and the evaluation results showed that the method based on multi-scale local energy could obtain accurate segmentation results with high availability.
| Original language | English |
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| Title of host publication | Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 |
| Pages | 1406-1409 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 3rd International Congress on Image and Signal Processing, CISP 2010 - Yantai, China Duration: 16 Oct 2010 → 18 Oct 2010 |
Publication series
| Name | Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 |
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| Volume | 3 |
Conference
| Conference | 2010 3rd International Congress on Image and Signal Processing, CISP 2010 |
|---|---|
| Country/Territory | China |
| City | Yantai |
| Period | 16/10/10 → 18/10/10 |
Keywords
- Image segmentation
- Multi-scale local energy
- Region-growing method
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Wang, Y., & Wang, Q. (2010). Image segmentation based on multi-scale local feature. In Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010 (pp. 1406-1409). Article 5648301 (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; Vol. 3). https://doi.org/10.1109/CISP.2010.5648301