彩色地图分色算法及其实现

A COLOR SEGMENTATION ALGORITHM APPLIED IN MAPS WITH ITS IMPLEMENTATION

研究一种新的彩色地图图像分色算法，该算法首先将彩色图像通过非线性变换，转换到孟塞尔颜色空间，再进行色彩学习．算法的特点是利用了图像的空间相关信息，可使分色结果得到局部优化，取得较为理想的效果，且降低了运算量．

The problem of color segmentation in color map images is studied and a new algorithm is presented in this paper. In this algorithm, we transform the image pixels from RGB color space to the Munsell space by a nonlinear transformation, then after studying the samples of color information, we proceed with segmentation. The characteristic of this algorithm is using the spatial interrelated information, which makes the processed images having better visual effect and reduces the amount of computation.