DocumentCode
416704
Title
Image segmentation using multiple and partially evolved Hopfield neural networks
Author
Ming, Li ; Xiaoqin, Yang ; Linxia, Zhou
Author_Institution
Dept. of Test & Control Eng., Nanchang Inst. of Aeronaut. Technol., China
Volume
3
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
2510
Abstract
This paper proposed an image segmentation method with multiple and partially evolved Hopfield neural networks. These neural networks, which are used to generate the threshold surface by interpolating the gray levels of the edge points into a segmentation threshold surface, are partially evolved to escape from possible local optima state.
Keywords
Hopfield neural nets; genetic algorithms; image segmentation; Hopfield neural networks; genetic algorithm; gray levels; image segmentation; local optima state; segmentation threshold surface; threshold surface;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1323641
Link To Document