Browse > Article

A Nonlinear Image Enhancement Method for Digital Mammogram  

Jeon, Geum-Sang (금오공과대학교)
Kim, Sang-Hee (금오공과대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.14, no.1, 2013 , pp. 6-12 More about this Journal
Abstract
Mammography is the most common technique for the early detection of breast cancer. To diagnose correctly and treat of breast cancer efficiently, many image enhancement methods have been developed. This paper presents a nonlinear image enhancement method for the enhancement of digital mammogram. The proposed method is composed of a nonlinear function for brightness improvement and a nonlinear filter for contrast enhancement. The nonlinear function improves the brightness of dark area and extends the dynamic range of bright area, and the nonlinear filter efficiently enhances the specific regions and objects of the mammogram. The final enhanced image was obtained by combining the processed image with the nonlinear function and the filtered image with the nonlinear filter. The proposed nonlinear image enhancement method was confirmed the enhanced performance comparing with other existing methods.
Keywords
Nonlinear Filter; Nonlinear Function; Nonlinear Unsharp Masking; Mammogram Enhancement;
Citations & Related Records
연도 인용수 순위
  • Reference
1 L.M. Wun, R. M. Merrill, and E. J. Feuer, "Estimation Lifetime and Age-Conditional Probabilities of Developing Cancer," Lifetime Data Analysis, vol. 4, pp. 169-186, 1998   DOI   ScienceOn
2 D. B. Kopans, "The 2009 U.S. Preventive Services Task Force Guidelines Ignore Important Scientific Evidence and Should Be Revised or Withdrawn," Radiology, vol. 256, pp. 15-20, 2010   DOI   ScienceOn
3 R. A. Smith, "Epidemiology of breast cancer categorical course in physis," Tech. Aspects Breast Imageing, Radiol. Soc. North Amer., pp. 21-33, 1993
4 AF. Laine, S. Schuler, J. Fan, W. Huda, "Mammographic feature enhancement by multiscale analysis," IEEE Trans. Med. Imag., vol. 13, no. 4, pp. 725-740, 1994.   DOI   ScienceOn
5 A. Laine, J. Fan, W. Yang, "Wavelets for contrast enhancement of digital mammography," IEEE Eng. Med. Biol. Mag., vol. 14, pp. 536-550, 1995.   DOI   ScienceOn
6 S. Dippel, M. Stahl, R. Wiemker, T. Blaffert, "Multiscale contrast enhancement for radiographies: laplacian pyramid versus fast wavelet transform," IEEE Trans. Med. Imag., vol. 21, no. 4, pp. 343-353, 2002.   DOI   ScienceOn
7 J. Tang, X. Liu, Q. Sun, "A direct image contrast enhancement algorithm in the wavelet domain for screening mammograms," IEEE J. Sel. Top. Sign. Process., vol. 3, no. 1, pp. 74-80, 2009.   DOI   ScienceOn
8 R. Hummel, Histogram modification techniques. Computer Graphics and Image Processing, 1975.
9 S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. H. Romeny, J. B. Zimmerman, K. Zuiderveld, "Adaptive histogram equalization and its variations," Computer Vision Graphics and Image Processing, vol. 39, pp.355-368, 1987.   DOI   ScienceOn
10 G. Ramponi, et al., "Nonlinear unsharp masking methods for image contrast enhancement," J. Electron. Imaging, vol. 5, pp. 353-366, 1996.   DOI   ScienceOn
11 G. Ramponi, A. Polesel, "Rational unsharp masking technique," J. Electron. Imaging, vol. 7, pp. 333-338, 1998.   DOI   ScienceOn
12 G. Ramponi, "A cubic unsharp masking technique for contrast enhancement," Signal Process., vol. 67, pp. 211-222, 1998.   DOI   ScienceOn
13 A. Polesel, G. Ramponi, V. J. Mathews, "Image Enhancement via adaptive unsharp masking," IEEE Transactions on Image Processing, vol. 9, no. 3, 2000.
14 K. Panetta, Y. Zhou, S, Agaian, H. Jia, "Nonlinear Unsharp Masking for mammogram enhancement," IEEE Transactions on Information Technology in Biomedicine, vol. 15, no. 6, pp. 918-928, 2011.   DOI   ScienceOn
15 G. Ramponi, "Bi-impulse response design of isotropic quadratic filters," Proceedings of the IEEE, vol. 78, no. 4, pp. 665-677, 1990.
16 N. Strobel, S. K. Mitra, "Quadratic filters for image contrast enhancement," in 1994 28th Asilomar Conf. Signals, Systems and Computers, vol. 1, pp. 208-212, 1994.
17 Y. Zhou, K. Panetta, S. Agaian, "Mammogram enhancement using alpha weighted quadratic filter," in 2009 Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society, Minneapolis, Minnesota, pp. 3681-3684, 2009.
18 J. Suckling, et al., "The mammographic images analysis society digital mammogram database," Experta Medica International Congress Series, vol. 1069, pp. 375-378, 1994.
19 S. S. Agaian, B. Silver, K. A. Panetta, "Transform coefficient histogram-based image enhancement algorithms using contrast entropy," IEEE Transactions on Image Processing, vol. 16, no. 3, 2007.