计算机工程2016，Vol.42Issue(11)：255-260,266,7.DOI:10.3969/j.issn.1000-3428.2016.11.042
基于边缘检测与Otsu的图像分割算法研究
Research on Image Segmentation Algorithm Based on Edge Detection and Otsu
摘要
Abstract
As a classical algorithm,Otsu algorithm is applied widely in image segmentation field.The application of Two-dimensional(2D)Otsu algorithm based on Otsu algorithm is limited for the long computing time and poor anti-noise capacity.Therefore,this paper proposes a modified Otsu algorithm.By using new area partition method,the proposed algorithm respectively applies three edge detection operators (Sobel,Log and Canny ) combined with linear fitting method to limit the object and background between a pair of boundaries which are parallel to the diagonal,and then uses the domain average value of noise pixels instead of the grey value.Finally the 2D Otsu oblique segmentation method is used to separate object from background.Experimental results show that compared with the traditional 2D Otsu algorithm and its modified algorithms,the proposed algorithm not only has a short operation time but also has a high quality of segmentation,a strong anti-noise capacity and a preferable adaptive ability.关键词
图像分割/边缘检测/直线拟合/直方图/Otsu算法Key words
image segmentation/edge detection/linear fitting/histogram/Otsu 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,高松松,马梦婕..基于边缘检测与Otsu的图像分割算法研究[J].计算机工程,2016,42(11):255-260,266,7.基金项目
国家自然科学基金（51275431）。 （）
