Automatic detection and scoring of the step wedge tool using image processing techniques

Mohamed, Haitham Elziber Mohamedahmed; Omer, Kamal Abdelaal Banga; Shigeri, Muhy Alden Ibrahim Abd elrahman; Supervisor-, Alnazier Osman Mohamed Hamza

dc.contributor.author	Mohamed, Haitham Elziber Mohamedahmed
dc.contributor.author	Omer, Kamal Abdelaal Banga
dc.contributor.author	Shigeri, Muhy Alden Ibrahim Abd elrahman
dc.contributor.author	Supervisor-, Alnazier Osman Mohamed Hamza
dc.date.accessioned	2017-12-23T10:30:12Z
dc.date.available	2017-12-23T10:30:12Z
dc.date.issued	2017-10-01
dc.identifier.citation	Mohamed, Haitham Elziber Mohamedahmed.Automatic detection and scoring of the step wedge tool using image processing techniques/Haitham Elziber Mohamedahmed Mohamed,Kamal Abdelaal Banga Omer,Muhy Alden Ibrahim Abd elrahman Shigeri;Alnazier Osman Mohamed Hamza.-Khartoum : Sudan University of Science and Technology, College of Engineering,2017.-55 p. :ill;28cm.- Bachelors search.	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/19521
dc.description	Bachelors search	en_US
dc.description.abstract	Step wedge is used for quality control in radiology devices. The image of the step wedge is based on experience, visual threshold, assessment method used and resident status. This project was designed to develop a quality control program, to calculate the number of steps in the image using a computer, digital images process in the evaluation of step wedge and matlab. A number of step wedge images were taken. It was shown to a group of engineers to determine number of the steps in the image. The image was entered into the matlab program and then it was converted to gray scale, then we averaged each column and compared the column values to determine the number of steps.	en_US
dc.description.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	image processing techniques	en_US
dc.subject	scoring of the step wedge tool	en_US
dc.title	Automatic detection and scoring of the step wedge tool using image processing techniques	en_US
dc.type	Thesis	en_US