Article ID Journal Published Year Pages File Type
389890 Fuzzy Sets and Systems 2011 18 Pages PDF
Abstract

Classical fuzzy mathematical morphology is one of the extensions of original binary morphology to greyscale morphology. Recently, this theory was further extended to interval-valued fuzzy mathematical morphology by allowing uncertainty in the grey values of the image and the structuring element. In this paper, we investigate the construction of increasing interval-valued fuzzy operators from their binary counterparts and work this out in more detail for the morphological operators, which results in a nice theoretical link between binary and interval-valued fuzzy mathematical morphology. The investigation is done both in the general continuous and the practical discrete case. It will be seen that the characterization of the supremum in the discrete case leads to stronger relationships than in the continuous case.

► Interval-valued fuzzy (IVF) morphology extends fuzzy mathematical morphology. ► The theory allows uncertainty in the grey values of image and structuring element. ► We study the construction of increasing IVF operators from binary ones. ► This investigation is then applied on the morphological operators. ► We find nice theoretical links between binary and IVF mathematical morphology.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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