摘要
本文提出了一种新的自适应多阈值图像分割算法。它首先利用势基函数对一维灰度直方图拟合,通过势函数聚类自动确定划分类数;然后在灰度共生矩阵的基础上,依据形状连通度准则,求得使形状连通度最大的一组分割阈值;最后按该组分割阈值执行多阈值图像分割。理论分析和实验结果都表明该算法较传统阈值分割算法优越,具有运算速度快、划分效果好、抗干扰性强的特点。
This paper presents a new adaptive multi-threshold segmentation algorithm. Firstly, the 1-D graylevel histogram of the image is fitted by potential base function and the classification number is then determined by clustering; secondly, the multi segmentation thresholds are obtained based on the graylevel co-occurrence matrix. Both theoretical analysis and simulation results indicate that the performance of this new adaptive multi threshold segmentation algorithm is superior to that of the conventional threshold segmentation algorithms.
出处
《自动化技术与应用》
2007年第8期71-73,96,共4页
Techniques of Automation and Applications
关键词
图像分割
多阈值
势函数聚类
灰度共生矩阵
形状连通度
image segmentation
multi thresholds
potential function clustering
graylevel co-occurrence matrix
shape connectivity
