Abstract
A variational approach for image binarization is discussed in this paper. The approach is based on the interpolation of surface. This interpolation is computed using edge points as interpolating points and minimizing an energy functional which interpolates a smooth threshold surface. A globally convergent Sequential Relaxation Algorithm (SRA) is proposed for solving the optimization problem. Moreover, our algorithm is also formulated in a multi-scale framework. The performance of our method is demonstrated on a variety of real and synthetic images and compared with traditional techniques. Examples show that our method gives promising results.
Original language | English |
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Pages (from-to) | 185-198 |
Number of pages | 14 |
Journal | Journal of Mathematical Imaging and Vision |
Volume | 23 |
Issue number | 2 |
DOIs | |
Publication status | Published - Sept 2005 |
User-Defined Keywords
- Global convergence
- Image segmentation
- Multi-scale image processing
- Sequential relaxation algorithm
- Variational approach