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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v32.i1.70
pages 48-55

Moving Weighted Rank Image Transforms

Roman A. Vorobel
Physicomechanical Institute of National Academy of Sciences of Ukraine, Lvov, Ukraine

ABSTRAKT

We analyze the rank transformations aiming improvement of the local contrasts and image detail. We show the rank transformation defects on the example of the well-known approach to the image transforms with the element classification by the object contrast. We propose the modification of the moving weighted rank image transforms which ensures the rise of the local contrast for both "convex" and "concave" objects and uses the new definition of element contrast. We consider the outlooks of development of the moving weighted rank transforms.


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