发明名称 Method and system for fast normalized cross-correlation between an image and a gaussian for detecting spherical structures
摘要 A method of identifying spherical objects in a digital image is provided, wherein the image includes a plurality of intensities corresponding to a domain of points in a D-dimensional space. The method includes calculating a local cross-correlation between a point in the domain of the image and a Gaussian kernel about a neighborhood of the point; calculating a local standard deviation of the point in the image; calculating a local standard deviation of the Gaussian kernel; calculating a cross-correlation ratio by dividing the local cross-correlation by the product of the local standard deviation of the image and the local standard deviation of the Gaussian kernel; and analyzing the cross-correlation ratio to determine whether an object about said point is spherical. The cross-correlation ratio can take continuous values from -1 to 1, where a spherically symmetric Gaussian shaped object has a value of 1.
申请公布号 US2005041869(A1) 申请公布日期 2005.02.24
申请号 US20040915075 申请日期 2004.08.10
申请人 CATHIER PASCAL 发明人 CATHIER PASCAL
分类号 G06K9/00;G06K9/46;G06K9/64;(IPC1-7):G06K9/00 主分类号 G06K9/00
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