Fuzzy clustering in digital mammograms using Gray Level co-occurrence matrices

Sheeba Jenifer Sujit, S. Parasuraman, Amudha Kadirvelu

    Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

    1 Citation (Scopus)

    Abstract

    Digital mammograms are difficult images to interpret. Data clustering plays a very crucial role in automatic detection of clustered calcifications in digital mammograms. The aim of this paper is to review and compare the performance of the three main data clustering techniques namely K-means clustering, Fuzzy C-Means clustering and Subtractive clustering. The digital mammograms for the study are taken from Mammographie Image Analysis Society (MIAS) digital mammogram database. The contrast limited adaptive histogram equalization (CLAHE) method is used to reduce noise in digital mammograms. The Gray Level co-occurrence Matrices (GLCM) for different distances and angles are constructed. The performance results of the clustering techniques based on mean square errors are tabulated and compared. It was found that the Subtractive clustering technique outperforms the other two techniques.

    Original languageEnglish
    Title of host publicationProceedings - ICETEEEM 2012, International Conference on Emerging Trends in Electrical Engineering and Energy Management
    Pages283-287
    Number of pages5
    DOIs
    Publication statusPublished - 2012
    EventInternational Conference on Emerging Trends in Electrical Engineering and Energy Management 2012 - Chennai, Tamil Nadu, India
    Duration: 13 Dec 201215 Dec 2012
    https://ieeexplore.ieee.org/xpl/conhome/6480927/proceeding (Proceedings)

    Publication series

    NameProceedings - ICETEEEM 2012, International Conference on Emerging Trends in Electrical Engineering and Energy Management

    Conference

    ConferenceInternational Conference on Emerging Trends in Electrical Engineering and Energy Management 2012
    Abbreviated titleICETEEEM 2012
    CountryIndia
    CityChennai, Tamil Nadu
    Period13/12/1215/12/12
    Internet address

    Keywords

    • Data clustering
    • Digital mammograms
    • Fuzzy C-Means
    • GLCM
    • K-Means
    • Subtractive clustering

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