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A Novel Technique for Mammogram Mass Segmentation Using Fractal Adaptive Thresholding

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The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 291))

Abstract

Digital mammogram is emerged as a most reliable screening technique for the early diagnosis of breast cancer and it paves an opportunity for researchers to develop novel algorithms for computer aided detection. Presence of clusters of microcalcifications as masses in mammograms is an important early indication of breast cancer. Fractal geometry is an efficient mathematical approach that deals with self-similar, irregular geometric objects called fractals. As the breast background tissues have high local self-similarity, which is the basic property of fractals, a new fractal method is proposed in this paper for the detection and segmentation of circumscribed masses from mammograms. The median filtering, label removal and contrast enhancement are done as pre-processing measures which makes the process of segmentation of masses, easier. The proposed technique then segments the circumscribed masses using Fractal adaptive thresholding with the application of morphological operations. This Fractal based mammogram mass segmentation is able to produce encouraging results that substantiate the merit of the proposed technique.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Applications, Gandhigram Rural Institute, Deemed University, Gandhigram, 624302, Tamil Nadu, India

    P. Shanmugavadivu & V. Sivakumar

Authors
  1. P. Shanmugavadivu
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  2. V. Sivakumar
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Corresponding author

Correspondence to V. Sivakumar .

Editor information

Editors and Affiliations

  1. School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia

    Harsa Amylia Mat Sakim

  2. School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia

    Mohd Tafir Mustaffa

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© 2014 Springer Science+Business Media Singapore

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Shanmugavadivu, P., Sivakumar, V. (2014). A Novel Technique for Mammogram Mass Segmentation Using Fractal Adaptive Thresholding. In: Mat Sakim, H., Mustaffa, M. (eds) The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications. Lecture Notes in Electrical Engineering, vol 291. Springer, Singapore. https://doi.org/10.1007/978-981-4585-42-2_25

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  • DOI: https://doi.org/10.1007/978-981-4585-42-2_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-4585-41-5

  • Online ISBN: 978-981-4585-42-2

  • eBook Packages: EngineeringEngineering (R0)

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