Title :
A genetic algorithm with coverage for object localization
Author :
Fong, Chun Ki ; Yuen, Shiu Yin
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
Abstract :
The object localization problem is to compute the orientation for a given object which best fits the sensed data. In this paper, a genetic algorithm (GA) for object localization is investigated. A method called Coverage-based Genetic Induction (COGIN) is applied to solve the problem of object localization. A comparison between COGIN and Simple GA (SGA) is reported. They are tested by using synthetic edge images with different levels of random noise. From the experimental results, it is shown that the performance of COGIN is much better than that of SGA
Keywords :
genetic algorithms; object detection; object recognition; COGIN; Coverage-based Genetic Induction; Simple GA; experimental results; genetic algorithm; object detection; object localization; performance; random noise; synthetic edge images; Biological cells; Convergence; Data engineering; Filters; Genetic algorithms; Image edge detection; Labeling; Noise level; Pixel; Testing;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
DOI :
10.1109/ISIMP.2001.925327
