Title :
Mammographic image enhancement using modified mathematical morphology and Bi-orthogonal wavelet
Author :
Amutha ; Babu, D. R Ramesh ; Shankar, Ravi ; Kumar, N. Hari
Author_Institution :
Dept. of CSE, DSCE, Bangalore, India
Abstract :
Mammography is an effective method for breast cancer detection and breast tumor analysis. In mammography, low dose x-ray is used for imaging, due to which the images are poor in contrast and are contaminated by noise. Hence it is difficult for the radiologist to screen the mammograms for diagnostic signs such as micro calcifications and masses. This ensures the need for image enhancement to aid radiologist. In this paper we present a different algorithm for enhancement of digital mammographic images. The proposed methodology uses mathematical morphology for contrast enhancement and wavelet for denoising. The main contribution of this paper is in differentiating the edge pixels from noise. A quantitative measure of Contrast Improvement Index (CII) and Edge Preservation Index (EPI) are used to evaluate the performance of the algorithm. The algorithm has been tested on a large number of images from standard dataset, comparing the results with the state-of-the- art. By both the analytical indices and ROC analysis, the proposed algorithm shows promising results in early detection of breast cancer and diagnosis.
Keywords :
cancer; edge detection; image enhancement; mammography; mathematical morphology; medical image processing; object detection; tumours; wavelet transforms; ROC analysis; bi-orthogonal wavelet; breast cancer detection; breast tumor analysis; contrast improvement index; edge pixels; edge preservation index; mammographic image enhancement; micro calcifications; modified mathematical morphology; Algorithm design and analysis; Image edge detection; Indexes; Low pass filters; Morphology; Noise; Noise reduction; Edge Enhancement; Mammograms; Mathematical Morphology; Wavelet Denoising;
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
DOI :
10.1109/ITiME.2011.6130897