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1.       Quweider, M.K. Color image segmentation with an entropy-based cost function (2010) Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010, 3, art. no. 5648128, pp. 1358-1363.

2.       Zhang, Y., Chen, X. Recognition for multiple robots linear formation (2010) Proceedings of the World Congress on Intelligent Control and Automation (WCICA), art. no. 5554677, pp. 6142-6146.

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1.       Zou, R., Yu, W., Yu, Z., Yu, X. Image segmentation based on local ant colony optimization (2009) 5th International Conference on Natural Computation, ICNC 2009, 3, art. no. 5363299, pp. 35-39.

2.       Son, C.S., Seo, S.T., Lee, I.K., Jeong, H.C., Kwon, S.H. Threshold selection based on interval-valued fuzzy sets (2009) IEICE Transactions on Information and Systems, E92-D (9), pp. 1807-1810.

3.       Liu, D., Yu, J.Otsu method and K-means (2009) Proceedings - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009, 1, art. no. 5254345, pp. 344-349.

4.       Lai, A.-N., Park, K., Kumar, M., Lee, G. Korean text extraction by local color quantization and k-means clustering in natural scene (2009) Proceedings - 2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009, art. no. 5175982, pp. 138-143.

2008 (4)

1.       Lai, A.-N., Lee, G.-S. Binarization by local K-means clustering for Korean text extraction (2008) Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008, art. no. 4775658, pp. 117-122.

2.       Jiang, X., Huang, X., Jie, M., Yin, H. Rock detection based on 2D maximum entropy thresholding segmentation and ellipse fitting (2008) 2007 IEEE International Conference on Robotics and Biomimetics, ROBIO, art. no. 4522325, pp. 1143-1147.

3.       Arora, S., Acharya, J., Verma, A., Panigrahi, P.K. Multilevel thresholding for image segmentation through a fast statistical recursive algorithm (2008) Pattern Recognition Letters, 29 (2), pp. 119-125.

4.       D Yu, TD Pham, H Yan, JS Jin, S Luo, DI Crane, Image processing and reconstruction of cultured neuron skeletons, International Journal of Hybrid Intelligent Systems, 2008 - IOS Press, Volume 5 ,  Issue 4, Pages 179-196.

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1.       Yu, D., Pham, T.D., Yan, H., Lai, W., Crane, D.I. Segmentation and reconstruction of cultured neuron skeleton (2007) AIP Conference Proceedings, 952, pp. 21-30.

2.       Yu, D., Pham, T.D., Crane, D.I. A region analysis approach for segmenting neural-cell images (2007) Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, art. no. 4353598, pp. 5529-5532.

3.       Yu, D., Pham, T.D., Yan, H., Zhang, B., Crane, D.I. Segmentation of cultured neurons using logical analysis of grey and distance difference (2007) Journal of Neuroscience Methods, 166 (1), pp. 125-137

4.       Quweider, M.K., Scargle, J.D., Jackson, B. Grey level reduction for segmentation, threshholding and binarisation of images based on optimal partitioning on an interval (2007) IET Image Processing, 1 (2), pp. 103-111.

5.       Wang, L., Bai, J., Wong, T.-T., Heng, P.-A. Isosurfaces computation for approximating boundary surfaces within three-dimensional images (2007) Journal of Electronic Imaging, 16 (1), art. no. 013011

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2.       Boudraa, A. O.; Zaidi, H. Quantitative Analysis in Nuclear Medicine Imaging (2006) :308-357, January 01, 2006

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1.       Tong, C.S., Zhang, Y., Zheng, N. Variational image binarization and its multi-scale realizations (2005) Journal of Mathematical Imaging and Vision, 23 (2), pp. 185-198.

2.       Huang, Q., Gao, W., Cai, W. Thresholding technique with adaptive window selection for uneven lighting image (2005) Pattern Recognition Letters, 26 (6), pp. 801-808.

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1.       Guan, Y.-P., Gu, W.-K. A study of algorithm for automatically extracting feature points in 2-dimensional image (2004) Chinese Journal of Sensors and Actuators, 17 (1), pp. 70-73.

2.       Bak, E., Najarian, K. Robust segmentation using parametric and nonparametric local spatial posteriors (2004) International Conference on Information Technology: Coding Computing, ITCC, 1, pp. 626-630.

3.       Sahoo, P.K., Arora, G. A thresholding method based on two-dimensional Renyi's entropy (2004) Pattern Recognition, 37 (6), pp. 1149-1161.

4.       Sezgin, M., Sankur, B. Survey over image thresholding techniques and quantitative performance evaluation (2004) Journal of Electronic Imaging, 13 (1), pp. 146-168.

5.       Yu, L. and Hoover, A., Threshold Selection as a Function of Region Count Stability Computer Vision and Pattern Recognition Workshop, 2004, pp. 59-59

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1.       Warne, K., Prasad, G., Siddique, N.H., Maguire, L.P. A novel intelligent approach to anchorage measurement using electron microscopy (2003) Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 4, pp. 3810-3815.

2.       Wang, L., Bai, J. Threshold selection by clustering gray levels of boundary (2003) Pattern Recognition Letters, 24 (12), pp. 1983-1999.

2002 (5)

1.       Shah-Hosseini, H., Safabakhsh, R. Automatic multilevel thresholding for image segmentation by the growing time adaptive self-organizing map (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence, 24 (10), pp. 1388-1393.

2.       Chang, J.-H., Fan, K.-C., Chang, Y.-L. Multi-modal gray-level histogram modeling and decomposition (2002) Image and Vision Computing, 20 (3), pp. 203-216.

3.       Kim, I.-K., Jung, D.-W., Park, R.-H. Document image binarization based on topographic analysis using a water flow model (2002) Pattern Recognition, 35 (1), pp. 265-277.

4.       José Manuel Iñesta Quereda, Jorge Calera-Rubio: Robust Gray-Level Histogram Gaussian Characterisation. SSPR/SPR 2002: 833-841

5.       Seemann, T. Digital Image Processing using Local Segmentation, School of Computer Science and Software Engineering Faculty of Information Technology Monash University Australia, PhD thesis, 2002

2001 (5)

1.       Tang, M., Ma, S. General scheme of region competition based on scale space (2001) IEEE Transactions on Pattern Analysis and Machine Intelligence, 23 (12), pp. 1366-1378.

2.       Zhao, M., Fu, A.M.N., Yan, H. A technique of three-level thresholding based on probability partition and fuzzy 3-partition (2001) IEEE Transactions on Fuzzy Systems, 9 (3), pp. 469-479.

3.       Zhang, Y. and Zheng, N. and Zhao, R. Variation-based approach to image segmentation Science in China Series F: Information Sciences Vol. 44 Num. 4, 2001, pp. 259-269

4.       Tong, C.S. and Zhang, Y. and Zheng, N. Variation-Based Image Segmentation and its Multiscale Realizations International Conference on Inverse Problems, 2001, pp. 9-12

5.       J.H. Chang, “Fingerprint Classification by Ridge Distribution Sequences and Ridge Distribution Model,” Ph.D. Dissertation, Department of Computer Science and Information Engineering, National Central University, 2001.

2000 (1)

1.       Yang, Y., Yan, H. An adaptive logical method for binarization of degraded document images(2000) Pattern Recognition, 33 (5), pp. 787-807.

1998 (4)

1.       Luo, D., Barker, J., McGrath, J.C., Daly, C.J. Iterative multilevel thresholding and splitting for three-dimensional segmentation of live cell nuclei using laser scanning confocal microscopy (1998) Journal of Computer-Assisted Microscopy, 10 (4), pp. 151-162.

2.       Cheng, H.D., Chen, C.H., Chiu, H.H., Xu, H. Fuzzy homogeneity approach to multilevel thresholding (1998) IEEE Transactions on Image Processing, 7 (7), pp. 1084-1088.

3.       Cheng, H.D., Chen, J.-R., Li, J. Threshold selection based on fuzzy c-partition entropy approach (1998) Pattern Recognition, 31 (7), pp. 857-870.

4.       Rout, S., Seethalakshmy, P.S., Majumdar, J. Multi-modal image segmentation using a modified hopfield neural network (1998) Pattern Recognition, 31 (6), pp. 743-750.

1997 (1)

1.       Sahoo, P., Wilkins, C., Yeager, J. Threshold selection using Renyi's entropy (1997) Pattern Recognition, 30 (1), pp. 71-84.

1996 (1)

1.       Lui, Y.M., Cheng, H.-D. A new peak selection criterion based on minimizing the classification error (1996) Information Sciences, 94 (1-4), pp. 213-233.