Classification of Breast Tissue for Mammograms Images Using IntensityHistogram and Statistical Methods

Authors

  • Alyaa Hussain Department of physics, College of Science for women, University of Baghdad, Baghdad, Iraq.
  • Alaa Mazher Department of computer and information System, University of Technology, Baghdad, Iraq.
  • Asraa Razak Department of physics, College of Science for women, University of Baghdad, Baghdad, Iraq.

DOI:

https://doi.org/10.24996/ijs.2012.53.4Appendix.%25g

Keywords:

statistical feature, , histogram equalization, , histogram intensity.

Abstract

In order to classify a image texture it must be segmented into a number of
regions. each region have the same properties. a circular mask has been used. after
the required region is obtained a intensity histogram and then as set of histogram
features has been calculated in order to classify the required images.
The statistical features of a mammogram are extracted using image processing
techniques. The extracted statistical features are the mean, standard deviation,
smoothness, third moment uniformity and entropy for each of the histogram
intensity and first order statistic a compare between the two

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Published

2024-04-26

Issue

Section

Physics

How to Cite

Classification of Breast Tissue for Mammograms Images Using IntensityHistogram and Statistical Methods. (2024). Iraqi Journal of Science, 53(4Appendix), 1092-1096. https://doi.org/10.24996/ijs.2012.53.4Appendix.%g

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