Medical Image Processing for Automated Screening Systems

A tétel rövid nézete
dc.contributor.advisorHarangi, Balázs
dc.contributor.authorAlburai, Khaled I. A.
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2022-04-11T13:40:37Z
dc.date.available2022-04-11T13:40:37Z
dc.date.created2022-04-11
dc.description.abstractThis work is regarding Medical Image processing and how we can process images. The fundamental of image processing, the medical imaging systems, and types of digital imaging is explained. The objective of this study creates a panoramic view for a group of images. We used two algorithms to create this. The first is a feature-based algorithm that depends on key points of images. Second, the optical flow depends on the motion of the camera or object. The thesis explained all steps to preparing images to be processed. During this work, I used Python programming language and OpenCV.Also, the challenges of using these two algorithms are explained, as the difference between them is also. The reason for using two algorithms and moving from feature-based to optical flow is explained.hu_HU
dc.description.courseComputer Science Engineering MSchu_HU
dc.description.degreeMSc/MAhu_HU
dc.format.extent47hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/330437
dc.language.isoenhu_HU
dc.subjectImage processinghu_HU
dc.subjectMedical Image processinghu_HU
dc.subjectOptical flowhu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleMedical Image Processing for Automated Screening Systemshu_HU
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