Breast Mass Classification Based on Hybrid Discrete Cosine Transformation–Haar Wavelet Transformation

Authors

DOI:

https://doi.org/10.25079/ukhjse.v4n2y2020.pp178-187

Keywords:

Discrete Cosine Transform, Breast mass, Haar wavelet transform, Feature Extraction, Mammogram,

Abstract

Mammography is the most effective procedure for the early detection of breast cancer. In this paper an efficient a Computer Aided Diagnosis (CADx) system is proposed to discriminate between benign and malignant. The system comprises mainly of three steps: preprocessing of the images, feature extraction, and finally classification and performance analysis. The case sample mammographic images, originating from the mini MIAS (Mammographic Image Analysis Society) database. In the preprocessing phase the ROI is cropped and resized by 128 x 128. at the very beginning of the feature extraction process, we have applied Haar Wavelet Transform (HWT) for five levels and, in each level, Discrete Cosine Transform applied with various selection of coefficients. After that, different types of features are fed into the feature similarity measure City Block for the diagnosis of breast cancer. The images are of two classes benign and malignant classes. Finally, K-Nearest Number is employed here as a classifier. In our proposed system, we found competitive results.

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Author Biographies

  • Bestan Maaroof Bahaalddin, Department of Information Technology, College of Commerce, University of Sulaimani, Sulaimani City, Kurdistan Region- F. R. Iraq

    Bestan Bahaalddin Maaroof is a master holder in Computer Science and Information Technology. She is an Assistant Lecturer at the Department of Information Technology, College of Commerce, University of Sulaimani, Sulaimani City, Kurdistan Region, Iraq Department of Information Technology, University College of Goizha, Sulaimani City, Kurdistan Region, F. R. Iraq.

  • Hawkar Omar Ahmed, Department of Information Technology, College of Commerce, University of Sulaimani, Sulaimani City, Kurdistan Region- F. R. Iraq.

    Hawkar Omar Ahmad works at the Department of Information Technology, College of Commerce, University of Sulaimani, Sulaimani City, Kurdistan Region- F. R. Iraq. He is also affiliated to  the Department of Information Technology, University College of Goizha, Sulaimani City, Kurdistan Region- F. R. Iraq.

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Published

2020-12-31

Issue

Vol. 4 No. 2 (2020): ISSUE 7

Section

Research Articles

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How to Cite

Breast Mass Classification Based on Hybrid Discrete Cosine Transformation–Haar Wavelet Transformation. (2020). UKH Journal of Science and Engineering, 4(2), 178-187. https://doi.org/10.25079/ukhjse.v4n2y2020.pp178-187

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