计算机应用 ›› 2011, Vol. 31 ›› Issue (01): 179-181.

• 图形图像处理 • 上一篇    下一篇

高斯拟合亚像素边缘检测算法

尚雅层1,陈静2,田军委1   

  1. 1.
    2. 西安工业大学机电工程学院
  • 收稿日期:2010-05-24 修回日期:2010-07-11 发布日期:2011-01-12 出版日期:2011-01-01
  • 通讯作者: 陈静
  • 基金资助:
    西安工业大学校长基金

Sub-pixel edge detection algorithm based on Gauss fitting

  • Received:2010-05-24 Revised:2010-07-11 Online:2011-01-12 Published:2011-01-01
  • Contact: chen jing

摘要: 针对传统边缘检测算法的定位精度低、对噪声敏感等缺点,提出基于函数曲线拟合的亚像素边缘检测算法——梯度方向高斯曲线拟合亚像素定位算法。该方法首先在边缘附近选取一系列点,求得这些点的灰度值,进而求得这些点的梯度值,然后运用高斯曲线来对这些点的梯度值进行拟合,最后通过拟合曲线求得高斯曲线的对称轴位置即为亚像素位置。实验表明该算法能够很好地实现亚像素定位,通过与其他两种亚像素定位算法的比较,得出该算法运行时间较短,效率较高。

关键词: 图像处理, 亚像素, 边缘检测, 高斯拟合, 最小二乘法

Abstract: Aiming at the low in localization and sensitive to the noises of traditional edge detection algorithms, a sub-pixel edge detection algorithm based on the function curve fittings is proposed——Gauss Fitting of gradient direction sub-pixel edge detection algorithm. According to the gradient distribution of the picture, this text use gauss curves fitting the edges to realize sub-pixel localization. Compared this algorithm with other two algorithms, the text get that the running time of this algorithm is shorter, and the efficiency is relatively high.

Key words: Image Processing, Sub-pixel, Edge detection, Gauss fitting, Least square method