摘要
分割是图象分析和处理中的重要手段．对于彩色图象，一般的分割方法都是基于ＲＧＢ（红、绿、蓝色）的彩色分量的计算，但有时ＲＧＢ分量不能确切体现图象中目标物体的特征，而且计算量很大．给出了一种新的彩色图象ＨＬＳ（色度、亮度、饱和度）变换方法，它能够体现出人类视觉特征，且经变换后的图象特征明显，易于进行边缘检测、分割和目标识别处理．此方法计算量小、精度高，经在医学图象处理系统中的实际应用，取得了很好的效果．
Segmentation is an important skill in image processing. Some traditional segmentation algorithms based on RGB components can not exactly extract features of an object. In this paper, a new method of fast HLS(Hue, Luminance, and Saturation) transformation is presented. The method has advantages of low computation and high accuracy, and it is easy to extract color features from an image. It is used in medical image processing system and has a good effect.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
1998年第9期75-78,共4页
Journal of Shanghai Jiaotong University
