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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 41287 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Jahed, Mehran; Salehian, Pirouz
- Abstract:
- Detection of blood diseases is one of the hardest branches of medical science. The human circulatory system mainly consists of three main components namely white blood cells, red blood cells and platelets. Many diseases are diagnosed based on qualitative and quantitative evaluation of these cells, such as cell’s quantity, size, shape and the color of the cells. For example, AIDS and blood cancer cause major changes in components of immune system i.e. white blood cells. Also, some features of red blood cells change in various diseases such as iron deficiency, anemia, thalassemia and other diseases like malaria. Rapid diagnosis and treatment of these diseases has a considerable impact on the cure process. As a result, an image processing system which is able to extract features that are not detectable with human eye can be very helpful. In this project two image processing algorithms to detect the core of the white blood cells and to determine the average volume and size of the inner cavity of red blood cells are introduced. To evaluate the accuracy of proposed methods, a database of images associated with reports of a Doctor and with help of hematology and pathology specialists were created to evaluate the proposed image processing methods. To achieve the more accurate automatic segmentation image processing methods include noise reduction in conjunction with edge preserving and active contour models
- Keywords:
- Blood ; Red Blood Cell ; Image Processing ; Microscopic Image ; Active Contour Model
Digital Object List-
محتواي پايان نامه - view
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- Final Thesis_58.pdf