Extracting the autonomic nerve wreath of iris based on an improved snake approach

The autonomic nerve wreath (ANW) is a major landmark feature of iris topography in iridology. Finding the edge of the ANW is of great importance to an automated iris diagnosis system. Based on a two-phase greedy optimization approach, this paper presents an improved snake model for extracting the edge of ANW, which solves the problem that the traditional snake initial contour should be close to the true boundary of interested object in an image. Experimental results show the validity of this approach.

[1]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[2]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Lawrence G. Roberts,et al.  Machine Perception of Three-Dimensional Solids , 1963, Outstanding Dissertations in the Computer Sciences.

[4]  Laurent D. Cohen,et al.  On active contour models and balloons , 1991, CVGIP Image Underst..

[5]  Tat-Jen Cham,et al.  Stereo coupled active contours , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[6]  Geir Storvik,et al.  A Bayesian Approach to Dynamic Contours Through Stochastic Sampling and Simulated Annealing , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Mubarak Shah,et al.  A Fast algorithm for active contours and curvature estimation , 1992, CVGIP Image Underst..

[8]  Amir A. Amini,et al.  Coupled B-snake grids and constrained thin-plate splines for analysis of 2-D tissue deformations from tagged MRI , 1998, IEEE Transactions on Medical Imaging.

[9]  Ray L. Somorjai,et al.  A fast, simple active contour algorithm for biomedical images , 1996, Pattern Recognit. Lett..

[10]  A. R. Mirhosseini,et al.  An optimally fast greedy algorithm for active contours , 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

[11]  Roland T. Chin,et al.  Deformable contours: modeling and extraction , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[12]  Ramakant Nevatia,et al.  A survey of edge detection techniques , 1980 .

[13]  Jerry L. Prince,et al.  Snakes, shapes, and gradient vector flow , 1998, IEEE Trans. Image Process..

[14]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.