Title :
Human eye inner boundary detection using a modified time adaptive self-organizing map
Author :
Khosravi, Mohammad Hossein ; Safabakhsh, Reza
Author_Institution :
Dept. of Comput. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
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.
Keywords :
eye; feature extraction; self-organising feature maps; active contour modeling; human eye inner boundary detection; modified time adaptive self-organizing map; Active contours; Adaptive systems; Change detection algorithms; Eyes; Face detection; Facial features; Humans; Image sequences; Iris; Neurons;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530177
