Abstract
Image quality is defined as a characteristic of an image that estimates the magnitude of degradation or improvement in its perceived visual characteristics, generally when compared to a reference image.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
K. Bovis, S. Singh, Enhancement technique evaluation using quantitative measures on digital mammograms, in Proceedings of 5th International Workshop on Digital Mammography, Toronto, Canada, June 2000, ed. by M.J. Yaffe (Medical Physics Publishing, 2000), pp. 547–553
K. Bovis, S. Singh, Learning the optimal contrast enhancement of mammographic breast masses, in Digital Mammography (Springer, Berlin, Heidelberg, 2003), pp. 179–181
S.D. Chen, A new image quality measure for assessment of histogram equalization-based contrast enhancement techniques. Digit. Signal Process. 22(4), 640–647 (2012)
C.J. D’Orsi, L.W. Bassett, W.A. Berg, Breast Imaging Reporting and Data System: ACR BI-RADS Mammography, 4th edn. (American College of Radiology, Reston, VA, 2003)
M. Heath, K. Bowyer, D. Kopans, R. Moore, W.P. Kegelmeyer, The digital database for screening mammography, in Proceedings of the 5th International Workshop on Digital Mammography, Toronto Canada, June 2001, ed. by M.J. Yaffe (Medical Physics Publishing, 2001), pp. 212–218
P. Ivonne, ACR BI-RADS Atlas: Breast Imaging Reporting and Data System, 5th edn. (American College of Radiology, Reston, VA, 2013)
E.A. Krupinski, Current perspectives in medical image perception. Attent. Percept. Psychophys. 72(5), 1205–1217 (2010)
K.A. Panetta, E.J. Wharton, S.S. Agaian, Human visual system-based image enhancement and logarithmic contrast measure. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 38(1), 174–188 (2008)
K. Panetta, A. Samani, S. Agaian, Choosing the optimal spatial domain measure of enhancement for mammogram images. Int. J. Biomed. Imaging 2014(1), 1–8 (2014)
S. Singh, R. Al-Mansoori, Identification of regions of interest in digital mammograms. J. Intell. Syst. 10(2), 183–217 (2000)
S. Singh, K. Bovis, An evaluation of contrast enhancement techniques for mammographic breast masses. IEEE Trans. Inf. Technol. Biomed. 9(1), 109–119 (2005)
Z. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)
Z. Wang, Objective image quality assessment: facing the real-world challenges. Electron. Imaging 13(2), 1–6 (2016)
X. Zhu, P. Milanfar, Automatic parameter selection for denoising algorithms using a no-reference measure of image content. IEEE Trans. Image Process. 19(12), 3116–313 (2010)
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). Performance Evaluation of Mammogram Enhancement Approaches. 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_9
Download citation
DOI: https://doi.org/10.1007/978-981-15-0442-6_9
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)