Title :
A shape detection method using improved genetic algorithm
Author :
Kawanishi, Hiroyuki ; Hagiwara, Masafumi
Author_Institution :
Keio Univ., Yokohama, Japan
Abstract :
A novel method to detect plural kinds of shapes such as lines, circles, ellipses, and parabolas has been proposed. It is based on improved genetic algorithm (GA). We have developed the following techniques to detect those shapes: 1) each chromosome is interpreted differently: each chromosome represents plural shapes; 2) detected shapes are eliminated from the original image for efficient detection; and 3) initialization of the chromosomes is carried out during the process for fast detection. We confirmed validity and superior performance of the proposed method by computer simulations
Keywords :
edge detection; genetic algorithms; image recognition; circles; ellipses; genetic algorithm; initialization; lines; parabolas; shape detection method; Biological cells; Computer simulation; Digital signal processing; Genetic algorithms; Image processing; Machine intelligence; Noise robustness; Noise shaping; Object detection; Shape;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537764