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Shape-based sorting of agricultural produce using support vector machines in a MATLAB/SIMULINK environment

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dc.citedby9
dc.contributor.authorKyaw M.M.en_US
dc.contributor.authorAhmed S.K.en_US
dc.contributor.authorMd Sharrif Z.A.en_US
dc.contributor.authorid35092761100en_US
dc.contributor.authorid25926812900en_US
dc.contributor.authorid6507195893en_US
dc.date.accessioned2023-12-29T07:52:53Z
dc.date.available2023-12-29T07:52:53Z
dc.date.issued2009
dc.description.abstractThe ability to sort agricultural produce automatically is very important. This paper addresses one way to identify agricultural produce based on their shape. The techniques used are based on support vector machines. The images of the produce are loaded into MATLAB and the features extracted using image processing techniques based on edge detection. These features are then input to a classifier; i.e., a support vector machine, for identification. A regular digital camera is used for acquiring the image, and all manipulations are performed in a MATLAB / SIMULINK environment. The results obtained are an improvement over a previous technique. �2009 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5069203
dc.identifier.doi10.1109/CSPA.2009.5069203
dc.identifier.epage139
dc.identifier.scopus2-s2.0-70349925477
dc.identifier.spage135
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-70349925477&doi=10.1109%2fCSPA.2009.5069203&partnerID=40&md5=0658851a7e39f8ab6a659b0123e96afe
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30767
dc.pagecount4
dc.sourceScopus
dc.sourcetitleProceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
dc.subjectAgricultural produce
dc.subjectFeature extraction
dc.subjectSupport vector machine
dc.subjectAgricultural machinery
dc.subjectCameras
dc.subjectEdge detection
dc.subjectFeature extraction
dc.subjectGears
dc.subjectImage processing
dc.subjectImage retrieval
dc.subjectMATLAB
dc.subjectMultilayer neural networks
dc.subjectSignal processing
dc.subjectSupport vector machines
dc.subjectVectors
dc.subjectAgricultural produce
dc.subjectImage processing technique
dc.subjectMATLAB /simulink
dc.subjectMATLAB/Simulink environment
dc.subjectShape based
dc.subjectTechniques used
dc.subjectAgricultural products
dc.titleShape-based sorting of agricultural produce using support vector machines in a MATLAB/SIMULINK environmenten_US
dc.typeConference paperen_US
dspace.entity.typePublication
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