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Simplified and Improved Patch Ordering for Diabetes Mellitus Detection
Ting Shu; Bob Zhang; Yuan Yan Tang
2015
Conference Name2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)
Source PublicationProceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015
Pages371-376
Conference Date24-26 June 2015
Conference PlaceGdynia, Poland
CountryPoland
PublisherIEEE
Abstract

Recently, researchers have discovered that there are non-invasive ways to detect Diabetes Mellitus based on the analysis of human facial blocks. Even though a few algorithms have been developed to detect Diabetes Mellitus based on facial feature analysis, Diabetes Mellitus detection remains a challenging problem. In this paper, we propose two algorithms to detect Diabetes Mellitus through the analysis of facial texture features extracted by the Gabor filter: Simplified Patch Ordering and Improved Patch Ordering. Firstly, four facial blocks are taken from a facial image to represent it. Afterwards, we use a 2-D Gabor filter bank to extract texture features from the four facial blocks. Finally, Simplified Patch Ordering and Improved Patch Ordering are applied to classify Diabetes Mellitus and Healthy samples. Experimental results on a dataset show that Simplified Patch Ordering can classify Diabetes Mellitus and Healthy samples with an accuracy of 95.83%, a sensitivity of 100%, and a specificity of 91.67%, while Improved Patch Ordering can classify Diabetes Mellitus and Healthy samples with an accuracy of 99.38%, a sensitivity of 100%, and a specificity of 97.35%, both based on a combination of facial blocks.

KeywordDiabetes Mellitus Facial Block Improved Patch Ordering Simplified Patch Ordering Texture Feature
DOIhttps://doi.org/10.1109/CYBConf.2015.7175962
URLView the original
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Cybernetics
WOS IDWOS:000373207200065
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被引频次[WOS]:4   [WOS记录]     [WOS相关记录]
Document TypeConference paper
专题DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationDept. of Computer and Information Science University of Macau Macau, China
First Author AffilicationUniversity of Macau
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Ting Shu,Bob Zhang,Yuan Yan Tang. Simplified and Improved Patch Ordering for Diabetes Mellitus Detection[C]:IEEE,2015:371-376.
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