Applying Onicescu Information Energy for Gray Level Image Segmentation

Vasile Patrascu

doi:10.20944/preprints202005.0167.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

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.

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

Computer Science and Mathematics, Applied Mathematics

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Applying Onicescu Information Energy for Gray Level Image Segmentation

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