Parallelized Fuzzy RBF and FHM based Color Filtering for Real-Time Image Processing

Color filtering is an important application of image processing. Real-time access to color-based information that is very advantageous for in a wide range of engineering fields that utilizes applied measurement technologies, like industrial manufacturing, medical science, self-driving cars, robotics, etc. Processing color information, however, especially in large images is typically a very time-consuming procedure, but with the usage of parallel computing it can be significantly accelerated. In this paper, two fuzzy approaches are examined for color filtering and improvements are proposed in order to speed up their operation.