DocumentCode
293628
Title
A genetic approach to edge detection
Author
Caponetti, Laura ; Abbattista, Nicola ; Carapella, Gerardo
Author_Institution
Inf. Dept., Bari Univ., Italy
Volume
1
fYear
1994
fDate
13-16 Nov 1994
Firstpage
318
Abstract
We propose to use optimization techniques known as genetic algorithms in the searching of the optimal edge configuration. An objective function is supplied which assigns a fitness value to each edge configuration. Fitness represents the ability of an individual to survive and reproduce; in our case it is evaluated on the basis of the local nature of the edges
Keywords
edge detection; functions; genetic algorithms; edge detection; fitness value; genetic algorithms; grey level images; image analysis; objective function; optimal edge configuration; optimization techniques; Biological cells; Computer vision; Genetic algorithms; Geometry; Image edge detection; Informatics; Layout; Optimization methods; Pixel; Radiometry;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413327
Filename
413327
Link To Document