Home // COMPUTATION TOOLS 2019, The Tenth International Conference on Computational Logics, Algebras, Programming, Tools, and Benchmarking // View article

Image Reconstruction Using Partial Fuzzy Transform

Authors:
Martina Dankova
Viktor Pavliska

Keywords: Undefined; Missing data; Error propagation; Fuzzy transform; Image processing

Abstract:
We will introduce various extensions of ordinary binary operations to a specially chosen single dummy element representing an undefined or missing value. We will apply these extensions to the Perfilieva’s fuzzy transform technique and extend it appropriately to operate with this dummy element too. The result of this extension will be called partial fuzzy transform. Moreover, we will demonstrate the usefulness of our approach using partial fuzzy transform technique on an image reconstruction problem.

Pages: 5 to 9

Copyright: Copyright (c) IARIA, 2019

Publication date: May 5, 2019

Published in: conference

ISSN: 2308-4170

ISBN: 978-1-61208-709-2

Location: Venice, Italy

Dates: from May 5, 2019 to May 9, 2019