TY - JOUR
T1 - Extracting the autonomic nerve wreath of iris based on an improved snake approach
AU - Yu, Li
AU - Wang, Kuanquan
AU - Zhang, Dapeng
PY - 2007/1/1
Y1 - 2007/1/1
N2 - 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.
AB - 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.
KW - ANW edge extraction
KW - Greedy optimization approach
KW - Iridology
KW - Snake model
UR - http://www.scopus.com/inward/record.url?scp=33845981840&partnerID=8YFLogxK
U2 - 10.1016/j.neucom.2006.10.009
DO - 10.1016/j.neucom.2006.10.009
M3 - Journal article
SN - 0925-2312
VL - 70
SP - 743
EP - 748
JO - Neurocomputing
JF - Neurocomputing
IS - 4-6
ER -