An enhancement of multi classifiers voting method for mammogram image based on image histogram equalization

Ibrahim, Ashraf Osman and Ahmed, Ali and Azizah, Anik Hanifatul and Lashar, Saima Anwar and Alobeed, Mohamed Alhaj and Kasim, Shahreen and Ismail, Mohd Arfian (2018) An enhancement of multi classifiers voting method for mammogram image based on image histogram equalization. International Journal of Integrated Engineering, 10 (6). pp. 209-213. ISSN 2229-838X

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Abstract

Breast cancer is one the most curable cancer types if it can be diagnosed early. Research efforts have reported with increasing confirmation that the computation methods have greater accurate diagnosis ability. An enhancement of multi classifiers voting technique based on histogram equalization as a preprocessing stage proposed in this paper. The methodology is based on five phases starting by mammogram images collection, preprocessing (histogram equalization and image cropping based region of interest (ROI)), features extracting, classification and last evaluating the classification results. An experimental conducted on different training-testing partitions of the dataset. The numerical results demonstrate that the proposed scheme achieves an accuracy rate of 81.25% and outperformed the accuracy of voting method without using histogram equalization.

Item Type: Article
Uncontrolled Keywords: Multi classifiers, Voting, Histogram Equalization, mammogram Image
Subjects: T Technology > TR Photography > TR624-835 Applied photography. Including artistic, commercial, medical photography, photocopying processes
Divisions: Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User: UiTM Student Praktikal
Date Deposited: 21 Nov 2021 06:33
Last Modified: 21 Nov 2021 06:33
URI: http://eprints.uthm.edu.my/id/eprint/3661

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