Automatic Detection of Micro Calcifications in a Small Field Digital Mammography Using Morphological Adaptive Bilateral Filter and Radon Transform Based Methods

摘要

We proposed a new algorithm for detection of micro calcifications using mathematical morphology, adaptive bilateral filter and radon transform based methods. The Adaptive bilateral filter is able to smooth the noise, while enhancing their edges and textures in the image. Morphological operations like dilation, erosion, opening and closing offer a quality extraction of the Shapes. The performance of the segmentation of micro calcification is improved by including the mathematical morphology operations in association with Radon transform. The Radon transform based methods in medical imaging which efficiently produce random projections by giving simultaneous translational-rotational alignment in two and three dimensions. The size and shape of the lesions are measured by using canny edge detection methods and segmented results are generated. The usefulness of proposed system evaluated with the help of expert radiologists.