Human Perception-based Color Segmentation Using Fuzzy Logic

Many color vision systems require a first step of classifying pixels in a given image into a discrete set of color classes. In this paper we describe a human perceptionbased approach to pixel color segmentation. Fuzzy sets are defined on the H, S and V components of the HSV color space and provide a fuzzy logic model that aims to follow the human intuition of color classification. Experiments suggest that the classification performed by the proposed algorithm introduces an improvement over some other basic color classification techniques, especially in outdoor natural scenes, which are considered more challenging to color segmentation methods. The knowledge-driven model allows simple modification of the classification based on the needs of a specific application, and the efficiency of the algorithm in terms of computational complexity makes the proposed method suitable for applications where efficiency is a primary issue.