Working Paper Article Version 2 This version is not peer-reviewed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)

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

Comments (1)

Comment 1
Received: 31 August 2020
Commenter: Vasile Patrascu
Commenter's Conflict of Interests: Author
Comment: It is a peer-revied version
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