Publications (After promotion to
associate professor in 1993)
1.
Chi-Hsiang Lo, Yujin Guo, Cheng-Chang Lu, and Chi-Hua Tung, ``Future of Image Registration: A Multi-Resolution
Approach to Medical Image Registration Using Binning Technique,'' Hand Book of Medical Image Analysis: Volume
III - Registration Models: Part A, pp. 535-554, Springer/Kluwer, 2005.
2.
Xiao-Hong
Zhu, Cheng-Chang Lu, and Yang-Ming Zhu, ``Stereo and Temporal Retinal Image
Registration by Mutual Information maximization,'' Hand Book of Medical Image Analysis: Volume III - Registration Models:
Part A, pp. 151-184, Springer/Kluwer,
2005.
3.
Zhen
Ye and Cheng-Chang Lu, ``A Wavelet Domain Hierarchical Hidden Markov Model,'' Proceedings of 2004 IEEE International
Conference on Image Processing, full text on CDROM, October 2004.
4.
Zhen
Ye, Zhongmin Lin, and Cheng-Chang Lu, ``A Fast 3D
Region Growing Approach for CT Angiography Applications,'' Proceedings of 2004 SPIE Medical Imaging Conference, full text on
CDROM, February 2004.
5.
Zhen
Ye and Cheng-Chang Lu, ``A Complex Wavelet Domain Markov Model for Image Denoising,'' Proceedings
of 2003 IEEE International Conference on Image Processing, full text on
CDROM, September 2003.
6.
Chi-Hsiang Lo, Yujin Guo, and Cheng-Chang Lu, ``A Binarization
Approach of CT-MR Registration Using Normalized Mutual Information,'' Proceedings of IASTED International
Conference on Signal and Image Processing, pp. 496-501, August 2003.
7.
Chi-Hsiang Lo and Cheng-Chang Lu, ``
8.
Chi-Hsiang Lo, Yujin Guo, and Cheng-Chang Lu, ``Results of Retrospective Image
Registration Evaluation,’’ Software Implementation with Results at www.vuse.vanderbilt.edu/~image/registration, Jan 2003.
9.
Zhen
Ye and Cheng-Chang Lu, ``Wavelet-Based Unsupervised SAR Image Segmentation
Using Hidden Markov Tree Models,'' Proceedings
of 2002 International Conference on Pattern Recognition, full text on
CDROM, August 2002.
10. Zhen Ye and Cheng-Chang Lu,
``Unsupervised Multiscale Classification Using
Wavelet-Domain Hidden Markov Tree Model,'' Proceedings
of 2002 IEEE International Conference on Acoustic, Speech, and Signal
Processing, full text on CDROM, May 2002.
11. Zhen Ye and Cheng-Chang Lu,
``Unsupervised Multiscale Focused Objects Detection
Using Hidden Markov Tree,'' Proceeding of
the 4th International Conference on Computer Vision, Pattern Recognition &
Image Processing, pp. 812-815, March 2002.
12. Zhen Ye and Cheng-Chang Lu, ``An
Unsupervised Multiresolution Textured Image
Segmentation Using Wavelet-Domain Classification,'' Proceedings of the 2001 International Conference on Imaging Science,
Systems, and Technology, pp. 287
-293, June 2001.
13. Jeffery Childs, Cheng-Chang Lu and Jerry
Potter, ``Some novel improvements in the Quickstep
Gaussian decomposition algorithm,'' Proceedings
of IASTED, Computer Graphics and Imaging, pp. 125-130, November 2000.
14. Jeffery Childs, Cheng-Chang Lu and Jerry
Potter, ``A fast, space-efficient algorithm for the approximation of images by
an optimal sum of Gaussians,'' Proceedings
of Graphics Interface, pp. 153-162, May 2000.
15. Jeffery Childs, Cheng-Chang Lu and Jerry
Potter, ``Intrinsic Boundaries in Gaussian Decomposition,'' Proceedings of Computer Graphics and
Imaging, pp. 64-68, October 1999.
16. Cheng-Chang Lu and Yong Ho Shin, ``A
Simulation of Variable Block Size Vector Quantization of Images'', International Journal of Modeling and
Simulation, vol. 19, no.3, pp. 250-254, July 1999.
17. Chia-Hsu Kuo and
Cheng-Chang Lu, ``Novel Algorithms for Improving Dynamic Huffman Coding,'' Proceedings of 1997 Multimedia Technology
and Applications Symposium, pp.118-126, December 1997.
18. Cheng-Chang Lu and Paul Stephan,
``Adaptive Pruned Tree-Structured Vector Quantization for use in Image
Processing,'' Proceeding of Signal and Image
Processing, IASTED SIP-97, pp.282-284, December 1997.
19. Chia-Hsu Kuo, Mu-King Tsai and Cheng-Chang Lu, ``An Efficient Repetition
Finder for Improving Dynamic Huffman Coding'', IEEE Transactions on Communications, vol.COM-45, no.11,
pp.1363-1366, November 1997.
20. Cheng-Chang Lu and Yong Ho Shin,
``Parallel Implementations of Huffman Coding Using Associative Memory,'' International Journal of Modelling
and Simulation, vol. 16, no.2, pp. 67-72, April 1996.
21. Chia-Hsu Kuo and
Cheng-Chang Lu, ``Conditional Entropy Coding using High-Order Statistics,'' Proceeding of Signal and Image Processing,
IASTED SIP-95, pp.410-413, November 1995.
22. M.K. Tsay, C.H.
Kuo, Cheng-Chang Lu, M.K. Chiu, ``Compression of Gray
Scale Images Using Alphabet Reduction Models,'' International Journal of Modelling and
Simulation, vol. 15, no.3, pp. 107-112, July 1995.
23. Cheng-Chang Lu, ``Application of
Short-Kernel Filter Pairs for Temporal Filtering of Image Sequences,'' IEEE Transactions on Consumer Electronics,
vol.CE-41, no.1, pp. 49-52, February 1995.
24. Cheng-Chang Lu and James George Dunham, ``Shape
Matching Using Polygon Approximation and Dynamic Alignment,'' Pattern Recognition Letters, vol. 14,
pp. 945-949, December 1993.
25. Cheng-Chang Lu and Yong Ho Shin, ``A
Self-Organization Network for Vector Quantization of Images,'' International Journal on Optical Memory and
Neural Networks, vol. 2, no. 1, pp. 51-58, September 1993.
26. Cheng-Chang Lu, Norhanim
Omar and Y.Q.Zhang, ``A Modified Short-Kernel Filter
Pair for Perfect Reconstruction of HDTV Signals,'' IEEE Transactions on Circuits and Systems for Video Technology, vol.3,
no.2, pp. 162-164, April 1993.
Recent Submissions
1.
Zhen
Ye and Cheng-Chang Lu, ``Unsupervised Segmentation of Focused Objects and
Background,’’ submitted to Pattern Recognition, September 2004.
2.
Chi-Hsiang Lu, Yujin Guo, and Cheng-Chang Lu, ``A Wavelet-Based Multi-Resolution
Approach for Brain Image Registration,’’ submitted to The Journal of Nuclear
Medicine, April 2004.
3.
Zhen
Ye and Cheng-Chang Lu, ``A Hierarchical Markov Model for Unsupervised Texture
Segmentation,’’ submitted to Journal of Applied Signal Processing, January
2004.
Publications (before 1993)
1.
Cheng-Chang
Lu and James George Dunham, ``Highly Efficient Arithmetic Coding Schemes for
Line Drawings Based on Chain Code Representation,'' Proceedings of 25th Annual Allerton
Conference on Communication, Control and Computing,Volume II, pp. 967-969, September
1987.
2.
Cheng-Chang
Lu and James George Dunham, ``Highly Efficient Markov Coding Schemes Based on
Chain Code Representation,'' Proceedings
of 1987 IEEE International Conference on Systems, Man and Cybernetics,
Volume II, pp. 536-539, October 1987.
3.
Cheng-Chang
Lu and James George Dunham, ``Hierarchical Shape Recognition Using Polygon Approximation
and Dynamic Alignment,'' Proceedings of
1988 IEEE International Conference on Acoustic, Speech and Signal Processing,
Volume II, pp. 976-979, April 1988.
4.
Cheng-Chang
Lu and James George Dunham, ``Adaptive Data Compression Schemes Using
Arithmetic Coding,'' Proceedings of 31st
5.
Cheng-Chang
Lu, ``Adaptive Source Modeling Using Conditioning Entropy Criterions,'' Proceedings of 1990 International Symposium
on Information Theory and Its Applications, pp. 487-490, November 1990.
6.
Cheng-Chang
Lu and Meiyu Lin, ``A Study on Subjective Fidelity for
Progressive Image Transmission Systems,'' Proceedings
on Human Vision, Visual Processing, and Digital Display, SPIE Volume 1453, pp. 206-210, February 1991.
7.
Cheng-Chang
Lu and Ngee-Boo Choong, ``Adaptive
Source Modeling Using Entropy Conditioning Tree with Maximum Entropy Reduction
Criterions,'' Proceedings of Data
Compression Conference, p.423, April 1991.
8.
Cheng-Chang
Lu and James George Dunham, ``Highly Efficient Coding Schemes for Contour Lines
Based on Chain Code Representations,'' IEEE
Transactions on Communications, Vol.COM-39, no.10, pp.1511-1514, October
1991.
9.
Cheng-Chang
Lu and Yong Ho Shin, ``Image Compression Using Vector Quantization and
Artificial Neural Networks,'' Proceedings
of 1991 IEEE International Conference on Systems, Man and Cybernetics, Vol.III, pp.1487-1492, October 1991.
10. Cheng-Chang Lu and James George Dunham, ``A
Universal Model Based On Minimax
Average Divergence Criterion,'' IEEE
Transactions on Information Theory, vol.IT-38, no.1, pp. 140-144, January
1992.
11. Cheng-Chang Lu and Yong Ho Shin, ``Neural
Networks for Classified Vector Quantization of Images,'' Proceedings on Image Processing Algorithms, SPIE Volume 1657,
pp.100-105, February 1992.
12. Cheng-Chang Lu and Yong Ho Shin, ``A
Neural Network Based Image Compression System,'' IEEE Transactions on Consumer Electronics, vol.CE-38, no.1, pp.
25-29, February 1992.
13. Cheng-Chang Lu and Yong Ho Shin, ``Interframe Predictive Coding of Images Using Motion
Estimation and Vector Quantization,'' IEEE
Transactions on Consumer Electronics, vol.CE-38, no.3, pp. 446-451, August
1992.
14. Cheng-Chang Lu and Yong Ho shin, ``Neural
Networks for Classified Vector Quantization of Images,'' The International Journal of Engineering Applications of Artificial
Intelligence, vol.5, no.5, pp. 451-456, September 1992.
15. Cheng-Chang Lu and Daniel Glover, ``Application
of Short-Kernel Filter Pairs in Still and Moving Picture Coding,'' Proceedings of 1993 Picture Coding Symposium,
paper number 14.5, March 1993.