Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
It is an important processing in the object recognition of robot vision to perform the color extraction processing by deciding the fittest threshold in real environment. In the dynamic environment, the color information of target object dynamically changes according to the locations and lighting conditions. It is not easy for human to obtain the fittest threshold values of a target object correctly and rapidly under such conditions. So, in the research, we propose an automatic threshold tuning method to be able to extract ellipse target selected by human with color static image taken by an omni-directional camera. In this method, the fittest threshold values are searched by using genetic algorithm based on the color information of target object. To confirm the effectiveness of this method, we performed the experiment for the performance comparison of color extraction process with and without GA. Further, we also report on comparing the extraction result by human to GA.
