Abstract
Non-linear enhancement techniques encompass various categories of approaches. Those specific to or commonly applied for processing of medical images include morphological filtering, fuzzy-based enhancement and non-linear filters.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
V. Bhateja, S. Devi, A Novel Framework for edge detection of microcalcifications using a non-linear enhancement operator and morphological filter, in Proceeding of (IEEE) 3rd International Conference on Electronics & Computer Technology (ICECT-2011), Kanyakumari (India), vol. 5 (April 2011), pp. 419–424
V. Bhateja, R. Verma, R. Mehrotra and S. Urooj, A Non-linear Approach to ECG Signal Processing using Morphological Filters. Int. J. Meas. Technol. Instrum. Eng. (IJMTIE), 3(3), 46–59 (2014)
A. C. Bovik, Handbook of image and video processing, 2nd ed. (Elsevier Academic Press, Amsterdam, 2010)
H. D. Cheng, H. Xu, A novel fuzzy logic approach to mammogram contrast enhancement. Inf. Sci. 148(4), 167–184 (2002)
G. Chen, K. Panetta, S. Agaian, New edge detection algorithms using alpha weighted quadratic filter, in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC-2011), Alaska, USA (2011), pp. 3167–3172
H. Deng, X. Sun, M. Liu, C. Ye, X. Zhou, Image enhancement based on intuitionistic fuzzy sets theory. IET Image Process. 10(10), 701–709 (2016)
R.C. Gonzalez, R.E. Woods, Digital Image Processing, 3rd ed. (Prentice Hall, USA 2007)
M.A. Guerroudji, Z. Ameur, A new approach for the detection of mammary calcifications by using the white top-hat transform and thresholding of Otsu. Opt.-Int. J. Light. Electron. Opt. 127(3), 1251–1259 (2016)
V.S. Hari, R.V.P. Jagathy, R. Gopikakumari, Enhancement of calcifications in mammograms using volterra series based quadratic filter, in Proceedings of IEEE International Conference on Data Science & Engineering (ICDSE-2012), Cochin, Kerala, India (2012), pp. 85–89
V.S. Hari, R.V.P. Jagathy, R. Gopikakumari, Unsharp masking using quadratic filter for the enhancement of fingerprints in noisy background. Pattern Recognit. 46(12), 3198–3207 (2013)
J. Jiang, B. Yao, A.M. Wason, Integration of fuzzy logic and structure tensor towards mammogram contrast enhancement. Comput. Med. Imaging Graph. 29(1), 83–90 (2005)
H. Li, Y. Wang, K.J.R. Liu, S.B. Lo, M.T. Freedman, Computerized radiographic mass detection-I: lesion site selection by morphological enhancement and contextual segmentation. IEEE Trans. Med. Imaging 20(4), 289–301 (2001)
V.J. Mathews, Adaptive polynomial filters. IEEE Signal Process. Mag. 8(3), 10–26 (1991)
A. Mencattini, M. Salmeri, R. Lojacono, M. Frigerio, F. Caselli, Mammographic images enhancement and denoising for breast cancer detection using dyadic wavelet processing. IEEE Trans. Instrum. Meas. 57(7), 1422–1430 (2008)
H. Mohamed, M.S. Mabrouk, A. Sharawy, Computer aided detection system for micro calcifications in digital mammograms. Comput. Methods Programs Biomed. 116(3), 226–235 (2014)
Mohanalin, P. K. Kalra, N. Kumar, An automatic method to enhance microcalcifications using normalized tsallis entropy, Signal Process. 90(3), 952–958 (2010)
A. Papadopoulos, D.I. Fotiadis, L. Costaridou, Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques. Comput. Biol. Med. 38(10), 1045–1055 (2008)
I. Pitas, A.N. Venetsanopoulos, Morphological shape decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 12(1), 38–45 (1990)
I. Pitas, A. N. Venetsanopoulos, Order statistics in digital image processing. Proc. IEEE 80(12), 1893–1921 (1992)
G. Ramponi, Bi-impulse response design of isotropic quadratic filters. Proc. IEEE 78(4), 665–667 (1990)
G. Ramponi, G. L. Sicuranza, Quadratic digital filters for image processing. IEEE Trans. Acoust., Speech, Signal Process. 36(6), 937–939 (1988)
G.L. Sicuranza, Quadratic filters for signal processing. Proc. IEEE, 80(8), 1263–1285 (1992)
T. Stojic, I. Reljin, B. Reljin, Local contrast enhancement in digital mammography by using mathematical morphology, in Proceedings of IEEE International Symposium Signals, Circuits and Systems (ISSCS-2005), Romania, vol. 2, pp. 609–612 (2005)
S. Thurnhofer, S.K. Mitra, A general framework for quadratic volterra filters for edge enhancement. IEEE Trans. Image Process., 5(6), 950–963 (1996)
J.H. Yoon, Y.M. Ro, Enhancement of the contrast in mammographic images using the homomorphic filter method. IEICE Trans. Inf. Syst. 85(1), 298–303 (2002)
Y. Zhou, K.A. Panetta, S.S. Agaian, Mammogram enhancement using alpha weighted quadratic filter, in Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, Minnesota (2009), pp. 3681–3684
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Bhateja, V., Misra, M., Urooj, S. (2020). Non-Linear Enhancement Techniques for Mammograms. In: Non-Linear Filters for Mammogram Enhancement. Studies in Computational Intelligence, vol 861. Springer, Singapore. https://doi.org/10.1007/978-981-15-0442-6_7
Download citation
DOI: https://doi.org/10.1007/978-981-15-0442-6_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0441-9
Online ISBN: 978-981-15-0442-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)