Abstract
In the field of image processing, it is very important in the object recognition to perform the color extraction processing by deciding the fittest threshold. In general, the threshold of color information dynamically changes according to the locations and lighting conditions in the real environment including various noises. Therefore, it is not easy for human to obtain the threshold values of a target object in the real environment. In this paper, we propose a threshold tuning method that is able to extract only the target area without noises by the threshold values of an ellipse target object selected by human from color static image obtained by an omnidirectional camera. In this method, the tuning of color extraction threshold is performed by genetic algorithm (GA) to search the suitable color threshold value according to the color information in the area selected by human. We also report the results of experiments performed by comparing the performance with the threshold value before and after GA search. By these experimental results, we confirmed that the proposed color extraction method by GA has better and faster performance than that of human.
