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, ``Multi-resolution CT-MR Brain Image Registration Using Normalized Mutual Information,'' Proceedings of 2003 International Conference on Imaging Science, Systems, and Technology, pp. 3-7, June 2003.

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 Midwest Symposium on Circuits and Systems, pp. 908-911, August 1988.

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.