Morphological approach for template matching

G. Banon, S. Faria
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引用次数: 23

Abstract

In this work, a morphological representation of a template matching algorithm for gray-scale images is presented. The algorithm is the composition of the so-called template matching operator with the maximum gray-level location operator, which can be both expressed in terms of the following classes of mathematical morphology elementary operators: dilations, erosions and anti-dilations. Moreover, the algorithm is applied to remote sensing images.
模板匹配的形态学方法
在这项工作中,提出了灰度图像模板匹配算法的形态学表示。该算法是由所谓的模板匹配算子和最大灰度定位算子组成的,这两个算子都可以用以下几类数学形态学初等算子来表示:膨胀算子、侵蚀算子和反膨胀算子。并将该算法应用于遥感图像。
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