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Structural characterisation of image processing operators

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1997) 1310 430-437
DOI: 10.1007/3-540-63507-6_229
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Abstract

We present a methodology to specify the action of image processing operators in terms of transformations induced on structures present in an image. The methodology is based on an analysis of the characteristics of the operator with respect to the adopted segmentation technique and is illustrated through an example of characterisation of the Gaussian filter.

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Bottoni, P., Cinque, L., Levialdi, S., Mussio, P., & Nebbia, B. (1997). Structural characterisation of image processing operators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1310, pp. 430–437). Springer Verlag. https://doi.org/10.1007/3-540-63507-6_229

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