Title :
A genetic approach to edge detection
Author :
Caponetti, Laura ; Abbattista, Nicola ; Carapella, Gerardo
Author_Institution :
Inf. Dept., Bari Univ., Italy
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;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413327
