Publication:
An adept edge detection algorithm for human knee osteoarthritis images

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dc.citedby6
dc.contributor.authorZahurul S.en_US
dc.contributor.authorZahidul S.en_US
dc.contributor.authorJidin R.en_US
dc.contributor.authorid35746021600en_US
dc.contributor.authorid36024580800en_US
dc.contributor.authorid6508169028en_US
dc.date.accessioned2023-12-29T07:50:49Z
dc.date.available2023-12-29T07:50:49Z
dc.date.issued2010
dc.description.abstractDigital image processing comprises varieties of applications, where some of these used in medical image processing include convolution, edge detection as well as contrast enhancement. Efficient edge detection depends on choosing the threshold; the choice of threshold directly determines the results of edge detection. In this paper, Sobel edge detection operator and its enhanced algorithm are first discussed in terms of optimal thresholding in C language under Linux platform. It is implemented a competent execution time for this new enhanced algorithm to detect edges for human knee osteoarthritis images in different critical situations. The proposed method is able to exhibit discernible view of salient features of most osteoarthritis images with approximately 50% better execution time compare to classical Sobel method. Also, it is shown that the algorithm is very effective in case of noisy and blurs images. � 2010 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5432947
dc.identifier.doi10.1109/ICSAP.2010.53
dc.identifier.epage379
dc.identifier.scopus2-s2.0-77952162106
dc.identifier.spage375
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77952162106&doi=10.1109%2fICSAP.2010.53&partnerID=40&md5=3b2d569c2fc6865dd49b6923e358df48
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30650
dc.pagecount4
dc.sourceScopus
dc.sourcetitle2010 International Conference on Signal Acquisition and Processing, ICSAP 2010
dc.subjectEdge detection
dc.subjectKnee osteoarthritis
dc.subjectSobel operator
dc.subjectAlgorithms
dc.subjectComputer operating systems
dc.subjectDigital image storage
dc.subjectImage processing
dc.subjectImaging systems
dc.subjectMathematical operators
dc.subjectSignal analysis
dc.subjectSignal detection
dc.subjectSignal processing
dc.subjectC language
dc.subjectContrast Enhancement
dc.subjectDigital image processing
dc.subjectEdge detection algorithms
dc.subjectExecution time
dc.subjectHuman knee
dc.subjectKnee osteoarthritis
dc.subjectLinux platform
dc.subjectMedical Image Processing
dc.subjectOptimal thresholding
dc.subjectSalient features
dc.subjectSobel edge detection
dc.subjectSobel method
dc.subjectSobel operator
dc.subjectEdge detection
dc.titleAn adept edge detection algorithm for human knee osteoarthritis imagesen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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