Segmentation of chromatic images

摘要

When analyzing color pictures one often requires that the image be segmented into meaningful regions based upon the color characteristics of the scene. Such a problem can assume two different forms. The first variation arises when particular color space characteristics are known and the goal is to detect and extract image regions which possess the given color characteristics. The second case arises when there is no a priori knowledge about the color space characteristics of the scene and the goal is to segment the scene into meaningful regions which possess uniform color space characteristics. This paper describes an interactive system which uses a decision surface modeling approach to solve the first case and uses clustering techniques in the three-dimensional color space to solve the second case. A set of examples is presented and the performance of the system is evaluated.