DocumentCode
2376261
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
Volume
2
fYear
2005
fDate
11-14 Sept. 2005
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN
0-7803-9134-9
Type
conf
DOI
10.1109/ICIP.2005.1530177
Filename
1530177
Link To Document