The week's pick
Random Articles
Reseach Article
A Comprehensive Active Contour Model
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 49 - Number 13 |
| Year of Publication: 2012 |
| Authors: Abhinav Chopra, Bharat Raju Dandu |
10.5120/7689-1005
|
Abhinav Chopra, Bharat Raju Dandu . A Comprehensive Active Contour Model. International Journal of Computer Applications. 49, 13 ( July 2012), 35-39. DOI=10.5120/7689-1005
Abstract
Image segmentation is one of the substantial techniques in the field of image processing. It is excessively used in the field of medicine provides visual means for identification, inspection and tracking of diseases for surgical planning and simulation. Active contours or snakes are used extensively for image segmentation and processing applications, particularly to locate object boundaries. Active contours are regarded as promising and vigorously researched model-based approach to computer assisted medical image analysis. However, its utility is limited due to poor convergence of concavities and small capture range. Many subsequent models have been introduced in order to overcome these problems. This paper reviews the traditional model, the Gradient vector flow (GVF) model and the balloon model for different images and proposes a model which can provide the most accurate segmentation.
References
- M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," Int. J. Comput. Vis. , vol. 1, pp. 321-331, 1987.
- H. Tek and B. B. Kimia, "Image segmentation by reaction-diffusion bubbles," in Proc. 5th Int. Conf. Computer Vision, 1995, pp. 156-162.
- V. Caselles, F. Catte, T. Coll, and F. Dibos, "A geometric model for active contours," Numer. Math. , vol. 66, pp. 1-31, 1993.
- R. Malladi, J. A. Sethian, and B. C. Vemuri, "Shape modeling with front propagation: A level set approach," IEEE Trans. Pattern Anal. Machine Intell. , vol. 17, pp. 158-175, 1995.
- A. K. Jain, Fundamentals of Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989
- C. Davatzikos and J. L. Prince, "Convexity analysis of active contour models," in Proc. Conf. Information Science and Systems, 1994, pp. 581-587.
- H. Tek and B. B. Kimia, "Image segmentation by reaction-diffusion bubbles," in Proc. 5th Int. Conf. Computer Vision, 1995, pp. 156-162.
- C. Xu and J. L. Prince, "Gradient vector flow: A new external force for snakes,"
- L. D. Cohen and I. Cohen, "Finite-element methods for active contour models and balloons for 2-D and 3-D images," IEEE Trans. Pattern Anal. Machine Intell. , vol. 15, pp. 1131-1147, Nov. 1993.
- L. D. Cohen. On active contour models and balloons. CVGIP: Image Understanding, 53(2):211–218, Mar. 1991
- R. Courant and D. Hilbert, Methods of Mathematical Physics, vol 6.
- B. K. P. Horn and B. G. Schunck, "Determining optical ?ow," Artif. Intell. , vol. 17, pp. 185–203, 1981.
- C. Xu and J. L. Prince. Snakes, shapes, and gradient vector flow. IEEE Trans. on Image Processing. to appear.
- C. Xu and J. L. Prince. Snakes, shapes, and gradient vector flow. Technical Report JHU-ECE TR96-15, The Johns Hopkins University, Oct. 1996.
- http://iacl. ece. jhu. edu/projects/gvf/
Index Terms
Keywords