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ABSTRACT
Mammogram is an easy and affordable means of diagnosis of breast cancer. Like other medical data, it is also affected by noise during acquisition. Therefore, it is a challenge for the researchers to denoise the mammograms for clear data extraction. This paper aims at denoising the mammogram by the wavelet and the curvelet transform with a motive to investigate the role of the “embedded” thresholding algorithm. As the thresholding technique is a key factor for the noise reduction, a comprehensive study on the employment of the different types of the thresholding techniques with the transforms have been presented methodically. A standard mammogram from the Mammographic Image Analysis Society database is supplemented with different types of noise and then denoised by the wavelet and the curvelet transforms using the three commonly used thresholding techniques to compare the denoising performance of the thresholding algorithms along with the transforms. This investigation renders a clear insight to the selection of the thresholding technique while denoising the mammogram with the transform.
ACKNOWLEDGEMENTS
The authors thank the anonymous reviewers for feedback to improve the paper.
Additional information
Notes on contributors
Manas Saha
M. Saha did BE (electronics) and MTech in the year 1999 and 2009 from Nagpur University and Jadavpur University, respectively. He is presently pursuing his PhD in the area of advanced wavelet transform from Jadavpur University. He also serves the Department of Electronics and Communication Engineering of Siliguri Institute of Technology, Siliguri in the capacity of assistant professor. His research interests include digital image processing and advanced wavelets.
Email: [email protected]
Mrinal Kanti Naskar
M. K. Naskar received both the BTech and MTech degrees from E & ECE Department, IIT, Kharagpur and the PhD degree from Jadavpur University. He served as a faculty member in RIT, Jamshedpur and REC, Durgapur from 1991–1996 and 1996–1999, respectively. He is currently working as a professor in the Department of Electronics and Telecommunication Engineering at Jadavpur University, Kolkata, India and is in-charge of the Advanced Digital and Embedded Systems Laboratory. His research interests include mobile ad-hoc networks wireless sensor networks, optical networks, embedded systems, and digital image processing.
Email: [email protected]
B. N. Chatterji
B. N. Chatterji obtained BTech (Hons) (1965) and PhD (1970) in Electronics and Electrical Communication Engineering of IIT, Kharagpur. He did post-doctoral work at University of Erlangen-Nurenberg, Germany during 1972–1973. Worked with Telerad Pvt Ltd, Bombay (1965), Central Electronics Research Institute, Pilani (1966) and IIT, Kharagpur as faculty member during 1967–2005. He was a professor during 1980–2005, Head of the Department during 1987–1991, Dean Academic Affairs during 1994–1997, and Member of Board of Governors of IIT, Kharagpur during 1998–2000. He has published about 150 journal papers, 200 conference papers, and four books. He was Chairman of 4 international conferences and 10 national conferences. He has coordinated 25 short-term courses and was the chief investigator of 24 sponsored projects. He is the fellow/life member/member of eight professional societies. He has received 10 National Awards on the basis of his academic/research contributions. His areas of interests are pattern recognition, image processing, signal processing, parallel processing, and control systems.
Email: [email protected]
