基于色彩学习的彩色图象分割方法  

COLOR IMAGE SEGMENTATION BASED ON COLOR LEARNING

作　　者：黄庆明[1] 张田文[1] 潘少静 

机构地区：[1]哈尔滨工业大学计算机系

出　　处：《计算机研究与发展》1995年第9期60-64,共5页Journal of Computer Research and Development

摘　　要：图象分割是实现计算机图象识别与理解的基础，而彩色是进行图象分割的一个重要手段。本文给出了一种基于色彩学习的彩色图象分割算法。通过计算归一化三基色图象ｒ、ｇ、ｂ中的彩色特征，并通过模板匹配，实现了彩色图象的分割。该方法可以克服光照变化及阴影对图象分割的不利影响，能够对彩色图象中指定色彩的多个区域同时进行分割，且快速简单，是一种有效的彩色图象分割方法。Image segmentation is the foundation of computer image analysis and understanding.And color is an important way for image segmentation.In this paper, a color image segmentation algorithm based on color learning is introduced. The algorithm is performed by calculating the color features of the normalized tristimulus image r, g, and b, and also by template matching. By using the algorithm, the negative effects of uneven lighting and shading of the image on segmentation can be overcome, and several areas can be segmented simultaneously according to the colors being assigned. The algorithm can be implemented simply and fastly, and it is an effective color image segmentation method.

关 键 词：图象处理 图象分割 色彩学习 彩色图象分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]