多灰度等级图象分割算法及实现  

Image Segmentation with Multiple Gray Levels

作　　者：王博[1] 王毅[2] 

机构地区：[1]暨南大学珠海学院,珠海519000 [2]西安交通大学生物医学工程研究所,西安710049

出　　处：《计算机工程与应用》2002年第22期244-245,共2页Computer Engineering and Applications

摘　　要：以图象的相关系数为量化参数,讨论了像素的空间和灰度相关性,建立了直方图正态分布叠加模型,在此基础上,构造了基于灰度直方图的多灰度等级图象分割算法。该算法计算量小、实时性强,可应用于基于计算机视觉的实时检测系统。The spatial and gray correlativity between pixels are studied in the respect of the correlative coefficent ,and the model of multiple spatial histogram are defined.Based on these results,the image segmentation algorithm with multi-ple gray levels are constructed.The emulation results show that the algorithm is available and efficient.The discrete algo-rithm can be used in real-time system with computer vision.

关 键 词：多灰度等级图像分割算法 灰度相关 图象识别 计算机视觉 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]