Segmentation of medical images by using k-NN classifier on field programmable logic array (FPGA)

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dc.contributor.authorÇinar, Salim
dc.contributor.authorKurnaz, Mehmet Nadir
dc.date.accessioned2024-11-07T10:39:27Z
dc.date.available2024-11-07T10:39:27Z
dc.date.issued2010
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description2010 7th National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010 -- 2 December 2010 through 5 December 2010 -- Bursa -- 83834
dc.description.abstractImage segmentation is one of the mostly used procedures in the medical image processing applications. Due to the high resolution characteristic of the medical images and a large amount of computational load in mathematical methods, medical image segmentation process has an excessive computation complexity. Recently, Field Programmable Gate Array (FPGA) implementation capable of performing many complex computations in parallel has been applied in many areas needed for high computation time. In this study, it is proposed that neigbour-pixel-intensity based feature extraction methods for extraction of the textural features in medical images, and k-NN classifier for segmentation process.
dc.identifier.endpage520
dc.identifier.isbn978-142449588-7
dc.identifier.scopus2-s2.0-79951665522
dc.identifier.scopusqualityN/A
dc.identifier.startpage516
dc.identifier.urihttps://hdl.handle.net/11480/10975
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartof2010 National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectClassifiers
dc.subjectElectrical engineering
dc.subjectFeature extraction
dc.subjectField programmable gate arrays (FPGA)
dc.subjectMedical imaging
dc.subjectComplex computation
dc.subjectComputation complexity
dc.subjectComputation time
dc.subjectComputational loads
dc.subjectFeature extraction methods
dc.subjectField programmable logic
dc.subjectField-programmable gate array implementations
dc.subjectHigh resolution
dc.subjectIntensity-based
dc.subjectk-NN classifier
dc.subjectMathematical method
dc.subjectMedical Image Processing
dc.subjectMedical image segmentation
dc.subjectMedical images
dc.subjectSegmentation process
dc.subjectTextural feature
dc.subjectImage segmentation
dc.titleSegmentation of medical images by using k-NN classifier on field programmable logic array (FPGA)
dc.title.alternativeSahada programlanabilir kapi dizileri (FPGA) üzerinde k-NN siniflayici kullanilarak mr görüntülerin bölütlenmesi
dc.typeConference Object

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