计算机与现代化 ›› 2011, Vol. 1 ›› Issue (6): 5-3.doi: 10.3969/j.issn.1006-2475.2011.06.002

• 图像处理 • 上一篇    下一篇

基于最大目标函数的医学图像边缘检测

鲁胜强1,刘瑞玲2   

  1. 1.温州医学院信息与工程学院,浙江 温州 325035; 2.浙江纺织服装职业技术学院服装分院,浙江 宁波 315211
  • 收稿日期:2011-04-22 修回日期:1900-01-01 出版日期:2011-06-29 发布日期:2011-06-29

Medical Edge Detection Based on Maximizing Objective Function

LU Sheng-qiang1, LIU Rui-ling2   

  1. 1.School of Information & Engineering, Wenzhou Medical College, Wenzhou 325035, China;2.Fashion Branch of Zhejiang Textile & Fashion College, Ningbo 315211, China
  • Received:2011-04-22 Revised:1900-01-01 Online:2011-06-29 Published:2011-06-29

摘要: 鉴于医学图像特点和传统算法的缺点,提出一种新的医学图像边缘检测算法,该算法通过考察3×3模板的理想边缘结构特征,将模板像素沿边缘方向分为两个集合,通过距离度量函数构造适当的目标函数,计算四个方向的目标函数值,从而获得最大目标函数值,并与给定的阈值比较,应用非极大抑制方法,判别该象素是否为边缘点,最后进行双阈值连接,可得到单像素边缘图像。仿真结果表明,该算法能够有效检测医学图像边缘,所检测出的图像边缘细节丰富, 单像素宽, 定位准确。

关键词: 边缘检测, 最大目标函数, 非极大值抑制

Abstract: A novel edge detection method for medical image is proposed for the characteristics of the medical images and drawback of classical method. The characters of ideal image edge of 3×3 mask are considered and two pixel sets in the mask are used to construct an objective function. By distance measure, the values of the objective function corresponding to four directions can be determined and the edge intensity is computed. Then a max value of each pixel in the mask can be obtained. Through comparing with threshold given and by applying nonmaxima suppression method, the pixel can be judged that it is or not an edge pixel. At last, the edge points of the image are extracted by doublethreshold connecting. Experimental results show that the proposed algorithm performs well in terms of the ability to detect the edge and noise. The final edge image is precisely localized with single pixel.

Key words: edge detection, maximum objective function, nonmaxima suppression