Preprint Article Version 1 This version is not peer-reviewed

Applying Onicescu Information Energy for Gray Level Image Segmentation

Version 1 : Received: 8 May 2020 / Approved: 10 May 2020 / Online: 10 May 2020 (14:41:04 CEST)

How to cite: Patrascu, V. Applying Onicescu Information Energy for Gray Level Image Segmentation. Preprints 2020, 2020050167 (doi: 10.20944/preprints202005.0167.v1). Patrascu, V. Applying Onicescu Information Energy for Gray Level Image Segmentation. Preprints 2020, 2020050167 (doi: 10.20944/preprints202005.0167.v1).

Abstract

This article presents a method of segmenting images with gray levels that uses Onicescu's information energy calculated in the context of the neutrosophic theory. Starting from the information energy calculation for complete neutrosophic information, it is shown how to extend its calculation for incomplete and inconsistent neutrosophic information. The segmentation method is based on calculation of thresholds for separating the gray levels using the local maximum points of the Onicescu information energy.

Subject Areas

neutrosophic information; Onicescu information energy; image segmentation; gray level image threshold

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