Medical imaging through histogram equalization and canny edge detection method

Medical images edge detection is an important work for object recognition of the human organs. It is an important pre-processing step in surgery planning to detect the location and size of cancerous tissues or tumor. Today, many edge detection methods were introduced in order to obtain the better re...

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Main Author:	Ibrahim, Mazlinda
Format:	Thesis
Language:	English
Published:	2009
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/id/eprint/18408/1/MazlindaIbrahimMFSA2009.pdf
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id	my-utm-ep.18408
record_format	uketd_dc
spelling	my-utm-ep.184082018-06-25T09:01:57Z Medical imaging through histogram equalization and canny edge detection method 2009 Ibrahim, Mazlinda QA Mathematics Medical images edge detection is an important work for object recognition of the human organs. It is an important pre-processing step in surgery planning to detect the location and size of cancerous tissues or tumor. Today, many edge detection methods were introduced in order to obtain the better result. One of the most popular methods is Canny edge detector. But, Laplacian and Sobel method are still taken into account to the researcher of edge detection. Computer Tomography scan is one of the modalities in medical imaging. Image reconstruction methods were used to obtain the final images in CT scan. Test images from CT scan were used to apply the Canny, Laplacian and Sobel methods using simulation with C++ programming. Comparisons were made and the result show that the combination of Canny edge detector and histogram equalization perform well to the tested images. 2009 Thesis http://eprints.utm.my/id/eprint/18408/ http://eprints.utm.my/id/eprint/18408/1/MazlindaIbrahimMFSA2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Ibrahim, Mazlinda Medical imaging through histogram equalization and canny edge detection method
description	Medical images edge detection is an important work for object recognition of the human organs. It is an important pre-processing step in surgery planning to detect the location and size of cancerous tissues or tumor. Today, many edge detection methods were introduced in order to obtain the better result. One of the most popular methods is Canny edge detector. But, Laplacian and Sobel method are still taken into account to the researcher of edge detection. Computer Tomography scan is one of the modalities in medical imaging. Image reconstruction methods were used to obtain the final images in CT scan. Test images from CT scan were used to apply the Canny, Laplacian and Sobel methods using simulation with C++ programming. Comparisons were made and the result show that the combination of Canny edge detector and histogram equalization perform well to the tested images.
format	Thesis
qualification_level	Master's degree
author	Ibrahim, Mazlinda
author_facet	Ibrahim, Mazlinda
author_sort	Ibrahim, Mazlinda
title	Medical imaging through histogram equalization and canny edge detection method
title_short	Medical imaging through histogram equalization and canny edge detection method
title_full	Medical imaging through histogram equalization and canny edge detection method
title_fullStr	Medical imaging through histogram equalization and canny edge detection method
title_full_unstemmed	Medical imaging through histogram equalization and canny edge detection method
title_sort	medical imaging through histogram equalization and canny edge detection method
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2009
url	http://eprints.utm.my/id/eprint/18408/1/MazlindaIbrahimMFSA2009.pdf
_version_	1747815267622191104

Medical imaging through histogram equalization and canny edge detection method

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