西安交通大学
纸质出版:1999
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[1]李翠华,郑南宁,张永平.基于样条修匀公式的图像边缘检测[J].电子学报,1999(01):2-5.
Li Cuihua, Zheng Nanning, Zhang Yongping. Edge Detection Based on a B Spline Smoothing Formula[J]. Acta Electronica Sinica, 1999, (1).
本文给出了一类基于B样条修匀公式的图像边缘检测算子,其过程是先利用等距B样条函数对图像{f(i,j)}N-1i,j=0做一个全息光滑曲面公式,进一步利用B样条函数的局部支撑性质导出,该曲面公式可以严格地局限于每点的某变邻域内计算,即S(x,y)=∑(i,j)∈Nk,l(x,y)f(i,j)Ωk(x-i)Ωl(y-j)该曲面既有足够的光滑性,又有良好的保凸性;然后,基于这个光滑曲面S(x,y),再通过求|S|的局部极大值点或求2S的零交叉来检测边缘.数值实验表明,这是一类十分成功的边缘检测算法,它简捷、可靠,便于实时处理,如可用于计算机视觉系统中的特征提取、图像分割、纹理分析等.
In this paper
an edge detector based on a B spline smoothing formula of image is proposed.Firstly
a smoothing surface with perfect information of the digital image is presented by using the uniform B spline function.Since the B spline is a locally supported function
the smoothing formula can be strictly limited in some neighborhood of a point
i.e.
S(x
y)=∑(i
j)∈N k
l (x
y)f(i
j)Ω k(x-i)Ω l(y-j) The surface is smooth
and it has the same convexity as that of the original image.secondly
the edge point is detected by either computing the local extreme of the directional derivative or computing zero crossing of the second order directional derivative of the smoothing surface.Finally
and example of the detector performance is given.The numerical experiment suggests that our detection scheme may be used in computer vision
such as feature extraction
segmentation of image
and texture synthesis.
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