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计算机工程

• 图形图像处理 • 上一篇    下一篇

基于边缘检测与Otsu的图像分割算法研究

杨陶,田怀文,刘晓敏,柯小甜,高松松,马梦婕   

  1. (西南交通大学 机械工程学院,成都 610031)
  • 收稿日期:2015-10-12 出版日期:2016-11-15 发布日期:2016-11-15
  • 作者简介:杨陶(1990—),男,硕士研究生,主研方向为图像分割、机器视觉;田怀文,教授、博士;刘晓敏、柯小甜、高松松、马梦婕,硕士。
  • 基金资助:
    国家自然科学基金(51275431)。

Research on Image Segmentation Algorithm Based on Edge Detection and Otsu

YANG Tao,TIAN Huaiwen,LIU Xiaomin,KE Xiaotian,GAO Songsong,MA Mengjie   

  1. (School of Mechanical Engineering,Southwest Jiaotong University,Chengdu 610031,China)
  • Received:2015-10-12 Online:2016-11-15 Published:2016-11-15

摘要: Otsu算法作为图像分割领域的经典算法得到了广泛的应用,在其基础上发展起来的2维Otsu算法由于运算时间长、抗噪能力差,应用受到限制。为此,提出一种改进的Otsu算法。通过更改2维直方图的区域划分方式,分别运用Sobel,Log和Canny边缘检测算法与直线拟合法相结合,将图像的目标和背景区域限制在一对平行于对角线的界线内,使用噪声点的邻域均值代替其灰度值,利用2维Otsu斜分法将目标从背景中分割出来。实验结果表明,与传统2维Otsu算法及其改进算法相比,该算法不仅运算时间较短,而且具有较好的分割质量、抗噪性能和自适应能力。

关键词: 图像分割, 边缘检测, 直线拟合, 直方图, Otsu算法

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.

Key words: image segmentation, edge detection, linear fitting, histogram, Otsu algorithm

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