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https://repository.sustech.edu/handle/123456789/11074| Title: | Enhancement of Edge Detection of Thyroid Scintigraphy Using Image Processing Technique |
| Other Titles: | كشف حواف صور الغدة الدرقیة باستخدام تقنیة معالجة الصور |
| Authors: | Yagoub, Khalid Yagoub Ahmed Supervisor -Yousif Mohamed Yousif Abdallah |
| Keywords: | College of Medical Radiologic Radiologic Science Thyroid Scintigraphy Using Image Processing Technique |
| Issue Date: | 1-Mar-2015 |
| Publisher: | Sudan University of Science and Technology |
| Citation: | Yagoub, Khalid Yagoub Ahmed . Enhancement of Edge Detection of Thyroid Scintigraphy Using Image Processing Technique/ Khalid Yagoub Ahmed Yagoub; Yousif Mohamed Yousif Abdallah.- khartoum: Sudan University of Science and Technology, College of Medical Radiologic Science , 2015.- 62p.: ill. ;28cm .- M.Sc. |
| Abstract: | The main objective of this study is Enhancement of Edge Detection of Thyroid scintigraphy Using Image Processing Technique. And specific objectives of the study are Read image,to detect region of interest, to remove background, to retain the image. The study carried out on two images of thyroid scintigraphy. The software is implemented using MATLAB R2009b and image segmentation method was implemented in six steps. in the first step Image Readed in MATLAB software ( original images) in the second step Entire thyroid gland was Detected in the third step the Images was Dilated in the fourth step Interior Gaps was Filled in the images in the fifth step Connected Objects on Border was Removed In the sixth step the Object was Smoothened and finaly outlined original images was obtained. |
| Description: | Thesis |
| URI: | http://repository.sustech.edu/handle/123456789/11074 |
| Appears in Collections: | Masters Dissertations : Medical Radiologic Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Enhancement of Edge .pdf | title | 122.87 kB | Adobe PDF | View/Open |
| Abstract .pdf | Abstract | 147.95 kB | Adobe PDF | View/Open |
| Research.pdf | Research | 2.16 MB | Adobe PDF | View/Open |
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