Studies on segmentation of color images considering the characteristics of human color perception

（1）利用图像空间信息对彩色图像进行分割本文研究了如何在利用颜色空间信息的基础上，利用图像空间信息对彩色图像进行分割，提出了一种从人的角度出发，利用一组与输入图像无关的固定参数值，得到满意的分割结果的方法。（2）彩色图像分割颜色空间的比较评价我们对11种颜色空间进行了比较评价，从颜色空间适合于彩色图像区域分割的角度出发，提出了一种基于颜色空间的彩色图像区域分割方法。为此，我们进行了人体实验的彩色像素分类和区域分割，并利用他们的结果。我们澄清了哪些颜色空间适合用于彩色图像分割，哪些不适合。（3）彩色图像区域分割效果的定量评价提出了一种彩色图像区域分割效果的定量评价方法。所考虑的标准是区域中颜色的均匀性和两个相邻区域之间的对比度。我们设计了一个全面的评价函数，并将导出的函数值与人的评价分数进行比较。除了欠分割的结果，功能值令人满意地接近人类的评价。（4）上述发现在彩色图像应用中的应用我们将上述结果和发现应用于彩色图像处理的各种应用中。

The main results of this research are as follows :(1)Utilization of image space information in segmenting color imagesWe investigated how to use image space information in addition to color space information nad proposed a method which produces satisfactory segmentation results from human viewpoint with a set of fixed parameter values, independent of the input image.(2)Comparative evaluation of color spaces for color image segmentationWe made a comparative evaluation of eleven color spaces, from the viewpoint of which color spaces are adequate for region segmentation of color images. For this purpose we made human experiments on color pixel classification and region segmentation, and utilize their results. We clarified which color spaces are adequate for using in color image segmentation and which are not.(3)Quantitative evaluation of region segmentation results of color imagesWe proposed a method of evaluating quantitatively segmentation results of color images. The criteria considered are uniformity of colors in a region and contrast between two adjacent regions. We designed an overall evaluating function and compared derived function values with human evaluated scores. Except undersegmented results, function values satisfactorily close to human evaluation are obtained.(4)Application of the above findings to color image applicationsWe applied the results and findings described above to various applications of color image processing.