Adıyaman Üniversitesi Kurumsal Arşivi

Gini index-based digital image complementing in the study of medical images

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dc.contributor.author A-iyeh, Enoch
dc.contributor.author Peters, James F.
dc.date.accessioned 2022-08-04T11:28:27Z
dc.date.available 2022-08-04T11:28:27Z
dc.date.issued 2015
dc.identifier.issn 1872-4981
dc.identifier.uri http://dspace.adiyaman.edu.tr:8080/xmlui/handle/20.500.12414/3506
dc.description.abstract The focus of this article is on Gini Index-based image complementing that utilises the relative frequency of occurrence of pixel intensities in digital images. The outcome of the proposed approach to image complementing is that the transformation function maps a complemented image to a shape that is usually not a straight line based on pixels and image information. The proposed approach lends support to decision-making in image analysis and image understanding. A practical application of the proposed to image complementing is given in terms of the analysis of medical images. tr
dc.language.iso en tr
dc.publisher IOS PRESS tr
dc.subject Complementing tr
dc.subject Gini index tr
dc.subject Image analysis tr
dc.subject Medical images tr
dc.subject Relative frequency tr
dc.title Gini index-based digital image complementing in the study of medical images tr
dc.type Article tr
dc.contributor.authorID 0000-0003-4540-7907 tr
dc.contributor.authorID 0000-0002-9458-8524 tr
dc.contributor.department Univ Manitoba, Dept Elect & Comp Engn, Computat Intelligence Lab, Winnipeg, MB R3T 5V6, Canada tr
dc.contributor.department Adiyaman Univ, Dept Math, Adiyaman, Turkey tr
dc.identifier.endpage 218 tr
dc.identifier.issue 2 tr
dc.identifier.startpage 209 tr
dc.identifier.volume 9 tr
dc.source.title Intelligent Decision Technologies-Netherlands tr


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