1 February 1992 Study of image segmentation using a perceptual color system
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This paper presents a new region segmentation method which uses a perceptual color system. In a general algorithm using color information, an input image is primarily divided into two parts with the following characteristic. One has regions with high saturation, the other with low. A single chroma thresholding operation is used to determine these two parts. However, for outdoor images, such as traffic scenes, in which chroma distribution are likely to be concentrated around low saturation values, this method is not useful. Perceptually speaking, it is not only chroma but also hue and brightness value which decide whether a region is highly saturated or not. We propose a new method that decides a variable chroma threshold value. A chroma function which has two parameters of hue and brightness value is constructed from the well-known Munsell color solid whose complex shape is determined by hue and brightness. Using this function, a chroma threshold value of a region is computed by hue and brightness value of the region. We provide experimental evidence for this method on outdoor images.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hiroshi Tomiyasu, Shuichi Nishio, "Study of image segmentation using a perceptual color system", Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); doi: 10.1117/12.57071; https://doi.org/10.1117/12.57071


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