scholarly journals Land use Detection in Nusajaya using Higher-Order Modified Geodesic Active Contour Model

2019 ◽  
Vol 10 (10) ◽  
Author(s):  
N Alias ◽  
M. N. ◽  
F. Mustapha
Keyword(s):  
Land Use ◽  
Active Contour ◽  
Active Contour Model ◽  
Higher Order ◽  
Geodesic Active Contour ◽  
Contour Model

scholarly journals Active Contour Model Coupling with Higher Order Diffusion for Medical Image Segmentation

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Guodong Wang ◽  
Jie Xu ◽  
Qian Dong ◽  
Zhenkuan Pan
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Medical Image ◽  
Active Contour Model ◽  
Higher Order ◽  
Medical Image Segmentation ◽  
Diffusion Method ◽  
Split Bregman ◽  
Contour Model ◽  
The Difference

Active contour models are very popular in image segmentation. Different features such as mean gray and variance are selected for different purpose. But for image with intensity inhomogeneities, there are no features for segmentation using the active contour model. The images with intensity inhomogeneities often occurred in real world especially in medical images. To deal with the difficulties raised in image segmentation with intensity inhomogeneities, a new active contour model with higher-order diffusion method is proposed. With the addition of gradient and Laplace information, the active contour model can converge to the edge of the image even with the intensity inhomogeneities. Because of the introduction of Laplace information, the difference scheme becomes more difficult. To enhance the efficiency of the segmentation, the fast Split Bregman algorithm is designed for the segmentation implementation. The performance of our method is demonstrated through numerical experiments of some medical image segmentations with intensity inhomogeneities.

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