摘要
研究彩色地图的一种新的图象分色算法．首先将彩色图象通过非线性变换，转换到孟塞尔颜色空间，然后通过色彩学习，进行彩色图象分色．该算法还利用了图象空间相关信息的马尔科夫场模型，可使分色结果得到局部优化，降低了运算量，取得较为理想的效果．
A new algorithm for color segmentation in image of color maps is presented in this paper. In the algorithm is transformed from the image from RGB color space to Munsell space via nonlinear transformation, then, after the study of sample color information, segmentation follows. This algorithm exploits the spacial interrelated information, which not only locally optimizes the processed image, but also reduces the amount of computation.
基金
国家自然科学基金
关键词
彩色地图
分色算法
图象分色算法
马氏场模型
color map, Munsell color space, Markov Model, color segmentation, algorithm
