Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/19522
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dc.contributor.authorAhmed, Etimad Alhady Mustafa Mohammed-
dc.contributor.authorSanad, Arwa Abdalgader Mohmmed Ahmed-
dc.contributor.authorMohmed, Islam AbdElmutalab Hassan-
dc.contributor.authorSupervisor-, Banazier Ahmed Abrahim-
dc.date.accessioned2017-12-23T10:54:13Z-
dc.date.available2017-12-23T10:54:13Z-
dc.date.issued2017-10-01-
dc.identifier.citationAhmed, Etimad Alhady Mustafa Mohammed.Ahmed, Etimad Alhady Mustafa Mohammed/Etimad Alhady Mustafa Mohammed Ahmed,Arwa Abdalgader Mohmmed Ahmed Sanad,Islam AbdElmutalab Hassan Mohmed;Banazier Ahmed Abrahim.-Khartoum : Sudan University of Science and Technology, College of Engineering,2017.-104 p. :ill;28cm.- Bachelors search.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/19522-
dc.descriptionBachelors searchen_US
dc.description.abstractultrasound (us) imaging application in medicine and other fields is enormous .it has several advantages over other medical imaging modalities .the use of us in diagnosis is well established because of noninvasive nature , portable ,accurate ,low cost imaging modality , capability of forming real time imaging and continuing improvement in image quality .it's estimated that one out of every form medical diagnostic image studies in the world involves ultrasonic techniques .the objective of this thesis is to give an overview about types of speckle reduction techniques in US imaging and to present new technique of speckle reduction and to carry out comparative evaluation of despeckle filtering based on image quality metrics . A new speckle suppression method and coherence enhancement of medical US image where proposed: Nine despeckled filtering techniques and five edge detection operators ,the result evaluated by image quality metrics; then best edge detection hybrid with best filter , quality evaluation metrics has been found that the proposed method performance better than all other methods, while the structural details and result preserving of small and important image feature that contain diagnostic information in a better way than other despeckling filter.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectUltrasounden_US
dc.subjectTechnique And Edge Detectionen_US
dc.subjectReduction Of Speckle Noiseen_US
dc.subjectEnhancement In Ultrasound Image Using Filtering Technique And Edge Detectionen_US
dc.titleReduction Of Speckle Noise And Image Enhancement In Ultrasound Image Using Filtering Technique And Edge Detection.en_US
dc.typeThesisen_US
Appears in Collections:Bachelor of Engineering

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