Article
Version 2
This version is not peer-reviewed
Gray Level Image Threshold Using Neutrosophic Certainty
Version 1
: Received: 7 December 2019 / Approved: 9 December 2019 / Online: 9 December 2019 (03:42:10 CET)
Version 2 : Received: 28 August 2020 / Approved: 31 August 2020 / Online: 31 August 2020 (07:53:55 CEST)
Version 2 : Received: 28 August 2020 / Approved: 31 August 2020 / Online: 31 August 2020 (07:53:55 CEST)
How to cite: Patrascu, V. Gray Level Image Threshold Using Neutrosophic Certainty. Preprints 2019, 2019120111 Patrascu, V. Gray Level Image Threshold Using Neutrosophic Certainty. Preprints 2019, 2019120111
Abstract
This article presents a new method of segmenting images with gray levels. The method is based on determining several thresholds for separation of gray levels. The determination of these thresholds is done using the certainty of the neutrosophic information. The concept of this method can be stated simply: to choose the local maximums for the neutrosophic certainty.
Keywords
image segmentation; gray level thresholds; neutrosophic information; neutrosophic certainty
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Commenter: Vasile Patrascu
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