DocumentCode :
3528968
Title :
Edge detection for brain tumor pattern recognition
Author :
Rulaningtyas, Riries ; Ain, Khusnul
Author_Institution :
Phys. Dept., Univ. of Airlangga Surabaya, Surabaya, Indonesia
fYear :
2009
fDate :
23-25 Nov. 2009
Firstpage :
1
Lastpage :
3
Abstract :
Brain tumor diagnosis is done by doctors. For detecting brain tumor grading always gives different conclusion between one doctor to another. For helping doctors diagnose brain tumor grading, this research made a software with edge detections method, so it could give edge pattern of brain and brain tumor itself. Edge detection of brain tumor in this research is the first step for brain tumor grading research. This research found the best edge detection method for brain tumor detecting between Robert, Prewitt, and Sobel method. From these three methods, Sobel method is suitable with case of brain tumors detecting. Sobel method had smaller deviation standard value than two others edge detection method.
Keywords :
brain; edge detection; medical image processing; tumours; Prewitt method; Robert method; Sobel method; brain tumor diagnosis; brain tumor grading; edge detection; pattern recognition; Brain; Equations; Gray-scale; Histograms; Image edge detection; Image processing; Kernel; Magnetic resonance imaging; Neoplasms; Pattern recognition; brain tumor; deviation standard; edge detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009 International Conference on
Conference_Location :
Bandung
Print_ISBN :
978-1-4244-4999-6
Electronic_ISBN :
978-1-4244-5000-8
Type :
conf
DOI :
10.1109/ICICI-BME.2009.5417299
Filename :
5417299
Link To Document :
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