doi: 10.7763/IJAPM.2012.V2.158
Global Region Based Segmentation of Satellite and Medical Imagery with Active Contours and Level Set Evolution on Noisy Images
K. Ramudu
1
,
G. Raghotham Reddy
1
,
A. Srinivas
1
,
- 1 the Department of ECE, Department of ECE, KITS, Warangal-15, KakatiyaUniversity, India
- 2 the Department of Physics, JNT University, Hyderabad, India.
Abstract
In this paper, we proposed a novel global segmentation method for satellite images with active contour model on noisy images with ten percentage of salt and pepper. It was implemented with a special technique selective binary and Gaussian filtering regularized level set evolution. First we selectively penalize the level set function to be binary and then use a Gaussian smoothing kernel to regularize it. The advantages of our method is a new region based signed pressure force(SPF) function is proposed, which can step effectively the contour at weak or blurred edges and automatically detect the interior and exterior boundaries with the initial contour being anywhere in the images effected with noise. The proposed method can implement by the simple finite difference scheme. Experiments on satellite images with noise demonstrate the advantages of the proposed method over the Chan-vase (CV) active contour in terms of the number of Iterations.
Keywords
- Active contours
- image segmentation
- Chan-vase model
- level set method
How to Cite
K. Ramudu, G. Raghotham Reddy, A. Srinivas, and T. Radha Krishna, "Global Region Based Segmentation of Satellite and Medical Imagery with Active Contours and Level Set Evolution on Noisy Images," International Journal of Applied Physics and Mathematics, vol. 2, no. 6, pp. 449-453, 2012. https://doi.org/ 10.7763/IJAPM.2012.V2.158
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).