基于曲线拟合的图像边缘突出显示

Highlight the Image Edge based on Curve Fitting

在对于各向异性滤波进行讨论的基础上,提出一种基于曲线拟合进行边缘提取的方法。该方法通过获取到图像中信息点之间的相关性,利用相关性判别信息点与噪声点并进行滤波。处理过程中在边缘位置采取了一维滤波,在非边缘位置进行常规的二维滤波,该方法克服了传统的方法受边缘外信息的影响较大的缺点。分别采用传统方法、各向异性方法及曲线拟合滤波方法进行对比试验,实验表明该方法能有效地突出图像的边缘显示并且没有增强噪声,具有较强的实用性。

In this paper a new method of edge detection based on curve fitting. This method is proposed based on a de- tailed discussion on the anisotropic filtering, his method the relation of the image information, then information and noise filtering. The edge position adopted one-dimensional filtering, two-dimensional filtering routine in the nonedge position. This method can overcome the influence of the traditional method bythe edge information. The comparison test the tradi- tional method, anisotropic method and curve filtering method, the experiments show that the curve filtering method can highlight the edge of the image effectively and does not enhance the noise. The method has strong practicability.