DETECTION OF INTENSITY CHANGES WITH SUBPIXEL ACCURACY USING LAPLACIAN GAUSSIAN MASKS
DETECTION OF INTENSITY CHANGES WITH SUBPIXEL ACCURACY USING LAPLACIAN GAUSSIAN MASKS
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DOI：
10.1109/tpami.1986.4767838
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发表时间：
1986-09-01
影响因子：
23.6
通讯作者：
MEDIONI, G
中科院分区：
文献类型：
--
作者：
HUERTAS, A;MEDIONI, G
We present a system that takes a gray level image as input, locates edges with subpixel accuracy, and links them into lines. Edges are detected by finding zero-crossings in the convolution of the image with Laplacian-of-Gaussian (LoG) masks. The implementation differs markedly from M.I.T.'s as we decompose our masks exactly into a sum of two separable filters instead of the usual approximation by a difference of two Gaussians (DOG). Subpixel accuracy is obtained through the use of the facet model [1]. We also note that the zero-crossings obtained from the full resolution image using a space constant σ for the Gaussian, and those obtained from the 1/n resolution image with 1/n pixel accuracy and a space constant of σ/n for the Gaussian, are very similar, but the processing times are very different. Finally, these edges are grouped into lines using the technique described in [2].
