文章基本信息

标题：Computing an Exact Gaussian Scale-Space
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作者：Ives Rey Otero ; Mauricio Delbracio
期刊名称：Image Processing On Line
电子版ISSN：2105-1232
出版年度：2016
卷号：6
页码：8-26
DOI：10.5201/ipol.2016.117
出版社：Image Processing On Line
摘要：Gaussian convolution is one of the most important algorithms in image processing. The present work focuses on the computation of the Gaussian scale-space, a family of increasingly blurred images, responsible, among other things, for the scale-invariance of SIFT, a popular image matching algorithm. We discuss and numerically analyze the precision of three different alternatives for defining a discrete counterpart to the continuous Gaussian operator. This study is focused on low blur levels, that are crucial for the scale-space accuracy.