Chromosome image enhancement using multiscale differential operators

IEEE Transactions on Medical Imaging

Volumn 22, Issue 5, 2003, Pages 685-693

  Wang, Yu Ping ^a   Wu, Qiang ^a   Castleman, Kenneth R ^a   Xiong, Zixiang ^b  

^a Advanced Digital Imaging Research LLC   (United States)

^b Texas AandM University   (United States)

Author keywords

B splines; Chromosome karyotyping; Contrast improvement ratio; Differential operators; Image enhancement; Scale space; Wavelets

Indexed keywords

ALGORITHMS; CELL CULTURE; CHROMOSOMES; COMPUTATIONAL GEOMETRY; COMPUTER AIDED DIAGNOSIS; CONTRAST MEDIA; DIFFERENTIAL EQUATIONS; GENETIC ENGINEERING; IMAGE ENHANCEMENT; MATHEMATICAL OPERATORS; PATTERN RECOGNITION; WAVELET TRANSFORMS;

CHROMOSOME IMAGE ENHANCEMENT; CYTOGENETIC DIAGNOSIS; DIFFERENTIAL WAVELET TRANSFORMS; KARYOTYPING; MULTISCALE DIFFERENTIAL OPERATORS; MULTISCALE POINT WISE PRODUCT;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; CHROMOSOME; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; KARYOTYPING; METHODOLOGY; QUALITY CONTROL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; ULTRASTRUCTURE; VALIDATION STUDY;

ALGORITHMS; CHROMOSOMES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KARYOTYPING; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0038105111     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2003.812255     Document Type: Article

References (29)

1. Y.-P. Wang and S. L. Lee, "Scale-space derived from b-splines," IEEE Trans. Pattern Anal. and Machine Intell., vol. 20. no. 10, pp. 1050-1065, Oct. 1998.
2. Y.-P. Wang, "Image representations using multiscale differential operators," IEEE Trans. Image Processing, vol. 8, pp. 1757-1771, Dec. 1999.
3. Q. Wu, "Automated identification of human chromosomes as an exercise in building intelligent image recognition systems," Ph.D. dissertation, Katholieke Universiteit Leuven, Belgium, 1991.
4. Q. Wu and K. R. Castleman, "Multiscale image enhancement of chromosome banding patterns," Proc. SPIE, vol. 2825, pp. 796-804, 1996.
5. A. K. Jain, Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989.
6. K. S. Song, J. K. Kim, J. M. Park, and H. W. Park, "Adaptive mammmographic image enhancement using first derivative and local statistics," IEEE Trans. Med. Imag., vol. 16, pp. 495-502, Oct. 1997.
7. C. H. Anderson, H. Greenspan, and S. Akber, "Image enhancement by nonlinear extrapolation in frequency space," IEEE Trans. Image Processing, vol. 9, pp. 1035-1048, June 2000.
8. A Polesel, G. Ramponi, and V. I. Mathews, "Image enhancement via adaptive unsharp masking," IEEE Trans. Image Processing, vol. 9, pp. 505-510, Mar. 2000.
9. J. Lu and D. M. Healy, Jr., "Contrast enhancement via multiscale gradient transformation," in Proc. IEEE Int. Conf. Image Processing, Austin, TX, Nov. 1994, pp. 482-486.
10. A. Laine, X. Zong, and E. Geiser, "Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing," IEEE Trans. Med. Imag., vol. 17, pp. 532-540, Aug. 1998.
11. A. Laine, I. Koren, and F. Taylor, "Enhancement via fusion of mammographic features," in Proc. Int. Conf. Image Processing, vol. 2, Chicago, IL, Oct. 1998, pp. 722-726.
12. H. C. Lien, J. C. Fu, and S. T. C. Wong, "Wavelet-based histogram equalization enhancment of gastric sonogram images," Comput. Med. Imag. Graph., 24, pp. 59-68, 2000.
13. Y. Xu, B. Weaver, D. M. Healy, and J. Lu, "Wavelet domain filters: A spatial selective noise filtration technique," IEEE Trans. Image Processing, vol. 3, pp. 747-757, Nov. 1994.
14. R. R. Coifman and D. L. Donoho, "Translation-invariant de-noising," in Wavelets and Statistics, A. Antoniadis and G. Oppenheim, Eds. Berlin, Germany: Springer-Verlag, 1995.
15. C. B. Ahn, Y. C. Song, and D. J. Park, "Adaptive template filtering for signal-to-noise ratio enhancement in magnetic resonance imaging," IEEE Trans. Med. Imag., vol. 18, pp. 549-556, June 1999.
16. M. Unser, "Splines: A perfect fit for signal and image processing," IEEE Signal Processing Mag., vol. 16, pp. 22-38, 1999.
17. Y.-P. Wang, S. L. Lee, and K. Torachi, "Multiscale curvature-based shape representation using b-spline wavelets," IEEE Trans. Image Processing, vol. 8, pp. 1586-1592, Nov. 1999.
18. B. M. Sadler and A. Swami, "Analysis of multiscale products for step detection and estimation," IEEE Trans. Inform. Theory, vol. 45, pp. 1043-1051, Apr. 1999.
19. S. Mallat and S. Zhong, "Characterization of signals from multiscale edges," IEEE Trans. Pattern Anal. Machine Intell., vol. 14, pp. 710-732, July 1992.
20. A. Rosenfeld, "A nonlinear edge detection technique," Proc. IEEE., pp. 814-816, 1970.
21. A. Rosenfeld and M. Thurston, "Edge and curve detection for visual scene analysis," IEEE Trans. Comput., vol. C-20, pp. 562-569, 1971.
22. S. Mallat, "A theory for multiresolution signal decomposition: Wavelet representation," IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 674-693, July 1989.
23. D. Donoho and I. Jhnstone, "Ideal spatial adaptation via wavelet shrinkage," Biometrika, vol. 81, pp. 425-455, 1994.
24. S. K. Mitra and H. Li, "A new class of nonlinear filters for image enhancement," in Proc. IEEE ICASSP, Toronto, ON, Canada, 1991, pp. 2525-2528.
25. A. Beghdadi and A. Le Negrate, "Contrast enhancement technique based on local detection of edges," Comput. Vis. Graph. Image Proc., vol. 46, pp. 162-174, 1989.
26. R. Gordon and R. M. Rangayyan, "Feature enhancement of film mammograms using fixed and adaptive neighborhoods," Appl. Opt., vol. 23, no. 4, pp. 560-564, 1984.
27. D.-C. Chang and W.-R. Wu, "Image contrast enhancement based on a histogram transformation of local standard deviation," IEEE Trans. Med. Imag., vol. 17, pp. 518-531, Aug. 1998.
28. G. Boccignone and M. Ferraro, "Multiscale contrast enhancement," Electron. Lett., vol. 37, no. 2, pp. 751-752, 2001.
29. Q. Wu, Y. Wang, Z. Liu, T. Chen, and K. R. Castleman, "The effect of image enhancement on biomedical pattern recognition," presented at the 2nd Joint IEEE EMBS-BMES Conf., Houston, TX, Oct. 23-26, 2002.