多颜色空间上的交互式图像分割

介绍了视觉颜色空间及其在交互式图像分割中的作用，实验分析了它的奇异性，在此基础上，考虑像素的空间和色彩分布，提出了基于区域生长法的多颜色空间、多度量准则的聚类算法和零碎区域的合并算法，颜色空间选取HSL和RGB两种，相似性度量包括了种子点、扩张点和生长区域三个方面，并用于敦煌壁画图像的分割。

Interactive Image Segmentation Using Multiple Color Spaces

Image segmentation is an important first task of any image analysis process. All the subsequent tasks, such as feature extraction and object recognition, rely heavily on the quality of the segmentation. This paper presents the perceptual color space and its advantage in segmenting the color image interactively. Although the color space reflects the way man observes color, its strangeness is a problem not to be overlook. A small change of color value can cause hue component (H) to fluctuate largely when saturation parameter (S) of HSL color space is less than 10% or larger than 90% or the three components' values of RGB color space are close to each other. Both RGB and HSL color spaces are used in image segmenting in order to avoid the strangeness. The former is used if color distribution is in the range of the strangeness, otherwise the latter is used. A region growing algorithm and a merging algorithm using multiple color spaces and multiple homogeneity criterions are proposed. The two algorithms take into account color similarity and spatial proximity simultaneously. The homogeneity criterions are relative to seed point, expand point, and growing region respectively. The history of Dunhuang's frescoes has nearly two thousand years. The originals, owing to discoloring and partly dropping for various reasons, had been damaged seriously. The mural image is more difficult to process than other types of image. Fully automatic general segmentation is an unsolved problem in the complex applications.The interactive image segmentation technique has been used in the image processing of DunHuang mural and has achieved effective result.