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- W2044836745 abstract "The growing interest in the interpretation of two–dimensional shapes contained in images on the industrial automation field leads the search of computational algorithms to retrieve information from images. At the core of image interpretation is the recognition of known patterns in the image. In this article, an algorithm for two–dimensional shape matching is presented. The algorithm focus in three fundamental characteristics. It is invariant under translation, rotation and scaling transformations of the images being compared. The method is based on the matched filter usage. Images are pre–processed to minimize the effects of the image rotation and scaling in the cross–correlation function. Through the analysis of the cross–correlation function the best match position between the compared images can be retrieved." @default.
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- W2044836745 date "2009-01-01" @default.
- W2044836745 modified "2023-09-24" @default.
- W2044836745 title "Translation, Rotation and Scaling Invariant 2D Shape Matching Based on Filter Matching" @default.
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- W2044836745 doi "https://doi.org/10.3182/20090603-3-ru-2001.0123" @default.
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