Paper
30 December 1994 Fuzzy integrals as a generalized class of order filters
Michel Grabisch
Author Affiliations +
Abstract
We introduce a new large class of filters similar to order filters, namely fuzzy integrals. Fuzzy integrals are a generalization of Lebesgue integral, and are defined with respect to a nonadditive measure. Fuzzy integrals can also be viewed as function processing filters, and appear to include a large class of known filters. We show that fuzzy integrals includes as particular case all linear filters, all order filters, and thus rank filters, the median, erosion, and dilation, whose properties of noise filtering are well known. In a second part, we give more insight into properties related to morphological filters, in an attempt to generalize results known for rank filters. Considering a gray level image as a fuzzy set, we extend the usual definition of dual filters with respect to complementation to any function processing filter. Based on this, we show that the dual of a fuzzy integral filter is the fuzzy integral filter with respect to the dual measure.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michel Grabisch "Fuzzy integrals as a generalized class of order filters", Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); https://doi.org/10.1117/12.196709
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Cited by 22 scholarly publications.
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KEYWORDS
Digital filtering

Fuzzy logic

Image filtering

Linear filtering

Binary data

Image processing

Probability theory

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