Texture Features of Grey Level Size Zone Matrix for Breast Cancer Detection

Authors

  • Rasha Awad Abtan Department of Computer, Basic education college, Mustansiriyah University, Baghdad, Iraq https://orcid.org/0000-0002-2972-3304
  • Anwar H. Al-Saleh Department of Computer Science, College of Science, Mustansiriyah University, Baghdad, Iraq https://orcid.org/0000-0001-9833-7119
  • Haidar J. Mohamed Department of Physics, College of Science, Mustansiriyah University, Baghdad, Iraq https://orcid.org/0000-0003-2032-4080
  • Heba Kh. Abbas Department of Physics, College of Science for Women, University of Baghdad, Baghdad, Iraq
  • A. Alzuky Department of Physics, College of Science, Mustansiriyah University, Baghdad, Iraq

DOI:

https://doi.org/10.24996/ijs.2023.64.1.43

Keywords:

Breast Cancer, Size Zone Matrix, Geometric properties, segmentation

Abstract

    The texture analysis of cancer cells leads to a procedure to distinguish spatial differences within an image and extract essential information. This study used two test tumours images to determine cancer type, location, and geometric characteristics (area, size, dimensions, radius, etc.). The suggested algorithm was designed to detect and distinguish breast cancer using the segmentation-based threshold technique. The method of texture analysis Grey Level Size Zone method was used to extract 11 features: Small Zone Emphasis, Large Zone Emphasis, Low Grey Level Zone Emphasis, High Grey Level Zone Emphasis, Small Zone Low Grey Level Emphasis, Small Zone High Grey Level Emphasis, Large Zone Low Grey Level Emphasis, Large Zone High Grey Level Emphasis, Grey Level Non-Uniformity Normalized, Grey Level Non-Uniformity, and Zone Percentage. The results show that the tumuor's location is highly accurate depending on the extracting properties. The results of the suggested method give the decision to identify the type of tumours. The geometry of the tumour helps describe the tumour.

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Published

2023-01-30

Issue

Section

Remote Sensing

How to Cite

Texture Features of Grey Level Size Zone Matrix for Breast Cancer Detection. (2023). Iraqi Journal of Science, 64(1), 492-502. https://doi.org/10.24996/ijs.2023.64.1.43

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