Approach for Segmentation of Micro-calcification in Mammographic Images

Authors

  • Chaudhari P Dept. of Computer Science and Engineering Marathwada Shikshan Prasarak Mandal’s Deogiri Institute of Engineering & Management Studies, Aurangabad, Maharashtra, India
  • PB Bhalerao Dept. of Computer Science and Engineering Marathwada Shikshan Prasarak Mandal’s Deogiri Institute of Engineering & Management Studies, Aurangabad, Maharashtra, India

DOI:

https://doi.org/10.26438/ijcse/v7i7.2832

Keywords:

Adaptive Histogram Equalization (AHE), Mammography Image Analysis Society (MIAS), Micro-calcification (MC), Region of interest (ROI)

Abstract

Ductal Carcinoma (Breast Cancer) is still the most common type of cancer throughout the world and a frequent cause of cancer death among women. Mammography is the most effective and reliable method for accurate detection of breast cancer in recent years. Micro-calcification (MC) is the tiny specks of calcium which appears in the form of clusters in breast tissue. So the detection of MC cluster in breast tissue plays an important role in enhancing the breast cancer diagnosis. In this report, a knowledge-based approach for the automatic detection and segmentation of micro-calcifications in mammographic images is presented. Segmentation is done by using Adaptive Histogram Equalization (AHE) and by calculating range block and domain block of the image. To validate the efficacy of the suggested scheme, simulation has been carried out using Mammography Image Analysis Society (MIAS) database.

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Published

2019-07-31
CITATION
DOI: 10.26438/ijcse/v7i7.2832
Published: 2019-07-31

How to Cite

[1]
P. Chaudhari and B. PB, “Approach for Segmentation of Micro-calcification in Mammographic Images”, Int. J. Comp. Sci. Eng., vol. 7, no. 7, pp. 28–32, Jul. 2019.

Issue

Vol. 7 No. 7 (2019): IJCSE July Edition

Section

Research Article

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