Name
Title | ||
|---|---|---|
Active Contour Driven By Local Gaussian Distribution Fitting And Local Signed Difference Based On Local Entropy |
Abstract | ||
|---|---|---|
Intensity inhomogeneity often causes considerable difficulties in image segmentation. In order to tackle this problem, we propose a novel region-based active contour model in a variational level set formulation. We first define a data fitting energy with a local Gaussian distribution fitting (LGDF) term, which induces a local force to attract the contour and stops it at object boundaries, and a local signed difference (LSD) term based on local entropy, which possesses both local separability and global consistency. This energy is then incorporated into a level set formulation with a level set regularization term that is necessary for accurate computation in the corresponding level set method. Experimental results show that the proposed model can not only segment images with intensity inhomogeneities and weak boundaries but also be robust to the noise, initial contours. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1142/S0218001416550119 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
Image segmentation, active contour, local entropy, local Gaussian distribution fitting, local signed difference | Active contour model,Pattern recognition,Curve fitting,Level set method,Level set,Image segmentation,Distribution fitting,Regularization (mathematics),Gaussian,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
30 | 3 | 0218-0014 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao Liang Jiang | 1 | 6 | 3.44 |
| Bai Lin Li | 2 | 0 | 0.34 |
| Jian Ying Yuan | 3 | 0 | 0.34 |
| xiao liang wu | 4 | 0 | 0.34 |