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Analysis and Classification of Abnormility in Mammogram with Fatty Background Tissue using Chebyshev Moment
Published in IJERT
Volume: 9.0
Issue: 7.0
Pages: 14.0 - 22.0
Analysis of Breast Cancer at the early stage of its birth is difficult as its shape may be round and smooth in former/benign cases while it may be speculated as well as irregular in case of later/malignant cases. In thisproposedmethod image processing algorithm is developed to find out Chebyshev Moments of mammographic images. These moments for normal and abnormal breast cancer differ in their range and this property of Chebyshev Moment is used to classify breast cancer in to normal and abnormal classes. This proposed method makes the task of analysis and classification of Digital Mammogram Images much simpler and faster with desired accuracy than current method of manual analysis.
About the journal
JournalInternational Journal of Application or Innovation in Engineering & Management
Open Access0