Color Image Segmentation: A State of the Art Survey

The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Color image segmentation is a primitive operation in many image processing and computer vision applications. Accordingly, there exist numerous segmentation approaches in the literature, which might be misleading for a researcher who is looking for a practical algorithm. While many researchers are still using the tools which belong to the old color space paradigm, there is evidence in the research established in the eighties that a proper descriptor of color vectors should act locally in the color domain. This paper presents a study of various genetic algorithms developed for Color image segmentation problem. Various approaches such as crossover operators, mutations and constrained problem statement have been applied to obtain good results.