The robot vision system is the critical component of the soccer robot, in football competition, robot perceive the most of the information from the vision system. Because of the variable illumination conditions, the traditional image segmentation method based on color information is not satisfactory. Based on the color information and shape information of the object, this paper proposes a object recognition algorithm that combine color image segmentation with edge detection. This algorithm implement image segmentation use color information in the HSV color space obtain the pixel of the object, then use this pixel implement edge detection to recognize the object. Experiments show that this algorithm can recognize the object exactly in the different illumination conditions, satisfy the requirement of the competition.
The purpose of the article is to solve the talent-post matching problem of material warehouse. From basic quality, job quality, ability quality 3 respects, the index and standard of talent-post matching degree was analyzed. The talent-post matching model of Material warehouse was build by using the method of support vector machine. An example of verification was given. The results show that the model can accurately evaluate the talent-post matching degree and has very important significance on the management of human resources of Material warehouse.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.