Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 31, Pages: 1-4
M. Kathiravan1 and M. Sundar Raj 2*
1 Department of Biomedical Engineering, Jerusalem College of Engineering, Chennai - 600100, Tamil Nadu, India; [email protected]
2 Department of Biomedical Engineering, Bharath University, Chennai - 600073, Tamil Nadu, India; [email protected]
Breast cancer is the second most common cancer all over the world. Ultrasound imaging is an effective tool in the detection of breast cancer because of its non ionizing radiation and low cost. This paper presents the possibility of extraction of features that can effectively differentiate benign and malignant state of cancer using ultrasound images. Speckle noises in the ultrasound images are reduced by mean, median, Weiner, filtering techniques and. Statistical texture features are extracted by applying ridgelet transform. Results shows that the ridgelet based feature extraction can effectively differentiate the state of cancer.
Keywords: Breast Cancer, Feature Extraction, Denoising, Ridgelet
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