Feature Extraction on Medical Image using 2D Gabor Filter

Zainudin, Muhammad Noorazlan Shah and Mohd Said, Muzalifah and Ismail, Mohd Muzafar (2011) Feature Extraction on Medical Image using 2D Gabor Filter. Applied Mechanics and Materials, 52-54 . pp. 2128-2132. ISSN 1660-9336 (in acceptance letter and journal proceeding)

[img] Text
AMM.52-54.2128.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy


Mammography is a specific type of imaging that produces an X-ray picture of the human breast. Detection of tumors at an early stage is important step in diagnosis of the abnormalities in mammograms. In many of the cases, preprocessing process of the raw image involving of enhancement, filtering and determination of textural features have been necessary for successful implementation of this study. Raw image is applied histogram equalization method in order to enhance the image intensity. Thus, the noise of that image is eliminated using Gaussian filtering method. Gabor wavelet based algorithm such Gabor filter is used to extract the feature of that images.

Item Type: Article
Uncontrolled Keywords: Mammogram, Gaussian filter, Gabor filter
Subjects: R Medicine > R Medicine (General)
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Electronics and Computer Engineering > Department of Computer Engineering
Depositing User: Engr Mohd Muzafar Ismail
Date Deposited: 26 Jul 2012 01:04
Last Modified: 07 Jan 2022 16:42
URI: http://eprints.utem.edu.my/id/eprint/4725
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item