Study and Analysis of Various Pre-Processing Techniques used in Breast Cancer Detection using Image Processing
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
In this paper various image pre-processing techniques for mammogram images including filtering and enhancement techniques are studied and analyzed. In the re-cent days’ breast cancer detection has become a very important role for women to save their life. Due to the poorly captured mammogram image quality pre-processing is the most important step in mammogram analysis. Few enhancement techniques like CLAHE, Power Law Transformation, Contrast Stretching and filters like Gaussian, Median and Average Filtering techniques are applied to the MIAS database that has more than 320 images. The obtained results are compared on the basis of statistical parameters like Peak Signal to Noise Ratio (PSNR)and Mean Square Error (MSE)and are presented in this paper. A higher PSNR value relates to the better suitability of the various pre-processing techniques.
Authors and Affiliations
Vidya. M, S. Dilip Kumar
Keywords
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