Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i31/85420
Year: 2016, Volume: 9, Issue: 31, Pages: 1-7
Original Article
S. Don1* and Dugki Min2
1 Department of Analytics, School of Computer Science and Engineering, VIT University, Vellore - 632014, [email protected]t.ac.in
2 Department of Computer Science and Engineering, Konkuk University, Seoul, South Korea; [email protected]
*Author for correspondence
Don
Department of Analytics, School of Computer Science and Engineering, VIT University, Vellore - 632014,
Email: [email protected]
Objective: To develop an algorithm for the identification of breast skin line in mammographic images and evaluate its performance against ground truth images. Methods/Analysis: A three stage processing pipeline was developed to segment the breast skin line. The first part of the segmentation used a pre-processing stage to remove artifacts and reduce image noise. The second stage employed a fractal based approach for segmentation and the third step detects the border region from the segmented image. Findings: The performance of the method has been evaluated using bench mark datasets from MIAS and DDSM. The results of the findings reveal that fractal based approach is an effective method to improve the skin line segmentation from mammogram images in the computer aided diagnosis. The algorithmic results of the segmentation were validated against the ground truth generated by manual segmentation. Improvement: The proposed method shows the importance of fractal analysis for breast skin line segmentation.
Keywords: Density, Fractal Modeling, Mammogram, Skin Line, Segmentation
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