计算机应用研究2016,Vol.33Issue(12):3872-3875,4.DOI:10.3969/j.issn.1001-3695.2016.12.078
基于双界线的O ts u阈值分割法及其快速算法
Otsu thresholding segmentation method based on two boundaries and its fast algorithm
摘要
Abstract
The traditional two-dimensional(2D)Otsu thresholding segmentation algorithm has been restricted in application for long-paying computation and poor anti-noise capacity.In order to overcome these drawbacks,this paper proposed a 2D Otsu method based on two boundaries and its fast algorithm.In new 2D histogram,two boundaries parallel to diagonal decided the width of object and background region,and the segmentation line perpendicular to diagonal decided the value of threshold.The proposed method applied Roberts operator and linear fitting to obtain two boundaries,then utilized modified Otsu algorithm to calculate threshold,finally reprocessed noise areas.Experimental results show that,the proposed method not only has a fast computational speed,but also owns better segmentation quality and anti-noise capacity.Meanwhile,the proposed fast algorithm lowers the computational complexity further,which makes the real-time of proposed method better.关键词
阈值分割/线性拟合/双界线/后处理/快速算法Key words
thresholding segmentation/linear fitting/two boundaries/post-processing/fast algorithm分类
信息技术与安全科学引用本文复制引用
杨陶,田怀文,刘晓敏,柯小甜,邢鹏举..基于双界线的O ts u阈值分割法及其快速算法[J].计算机应用研究,2016,33(12):3872-3875,4.基金项目
国家自然科学基金资助项目 ()