In this paper, we use a TASOM-based ACM algorithm for extracting the human eye inner boundary and compare the results with those obtained by GVF snakes. Some pitfalls existing in the original TASOM-based ACM algorithm are introduced and modifications are proposed to solve the problems. Implementation results show that the modifications enhanced the original algorithm and produced good boundary detection results.
['Mohammed Hossein Khosravi', 'Reza Safabakhsh']
Human eye inner boundary detection using a modified time adaptive self-organizing map