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Morphological operations with subpixel resolution on digital images

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In many defect inspection systems computer vision pattern matching techniques are applied. These techniques require the use of different morphological operations. In many situations, pattern images generated by classical morphological operations do not allow to detect defects in images. Small defects of pixel size can also be left unnoticed when using such pattern images. The purpose of this paper is to combine classical morphological operations with a linear interpolation process on digital images to generate these pattern images. It is possible to employ structuring elements of any size to carry out morphological operations on continuous signals. However, on gigital images or discrete signals, the size of the structuring element should be greater than pixel size. The approach described in this paper applies classical morphological operations on reconstructed images at subpixel level to generate [pattern images. In such circumstances, we can compare this procedure with the effect produced by the use of structuring elements smaller than pixel size.
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  • Miguel Hernandez University, Dept. of Science and Technology, Av. Ferrocarril s/n, 03202, Elche - Alicante, o.reinoso@umh.es
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bwmeta1.element.baztech-article-BWA1-0002-0006
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