[1]
|
J. K. Udupa and S. Samarasekera, “Fuzzy Connectedness and Object Definition: Theory, Algorithms and Applica-tions in Image Segmentation,” Graphical Models and Image Processing, Vol. 58, No. 3, 1996, pp. 246-261.
|
[2]
|
P. K. Sahoo, S. Soltani and A. K. C. Wong, “A Survey of Thresholding Techniques,” Computer Vision, Graphics and Image Processing, Vol. 41, No. 2, 1998, pp. 233-260.
|
[3]
|
N. P. Pal and S. K. Pal, “A Review on Image Segmenta-tion Techniques,” Pattern Recognition, Vol. 26, No. 9, 1993, pp. 1277-1294.
|
[4]
|
M. Sezgin and B. Sankar, “Survey over Image Thre-sholding Techniques and Quantitative Performance Eval-uation,” Journal of Electronic Imaging, Vol. 13, No. 1, 2004, pp. 146-165.
|
[5]
|
S. U. Lee, S. Y. Chung and R. H. Park, “A Comparative Performance Study of Several Global Thresholding Techniques for Segmentation,” Computer Vision, Graph-ics and Image Processing, Vol. 52, No. 2, 1990, pp. 171-190.
|
[6]
|
N. Otsu, “A Threshold Selection Method from Gray- Level Histograms,” IEEE Transaction on Systems, Man and Cybernetics, Vol. 9, No. 1, 1979, pp. 62-66.
|
[7]
|
W. Tao, H. Jin and L. Liu, “Object Segmentation Using Ant Colony Optimization Algorithm and Fuzzy Entropy,” Pattern Recognition Letters, Vol. 28, No. 7, 2007, pp. 788-796.
|
[8]
|
O. J. Tobias and R. Seara, “Image Segmentation by His-togram Thresholding Using Fuzzy Sets,” IEEE Transac-tion on Image Processing, Vol. 11, No. 12, 2002, pp. 1457-1465.
|
[9]
|
J. N. Kapur, P. K. Sahoo and A. K. C. Wong, “A New Method for Gray-Level Picture Thresholding Using the Entropy of The Histogram,” Computer Vision, Graphics and Image Processing, Vol. 29, No. 3, 1985, pp. 273-285.
|
[10]
|
T. Pun, “Entropy Thresholding: A New Approach,” Computer Vision, Graphics and Image Processing, Vol. 16, No. 3, 1981, pp. 210-239.
|
[11]
|
A. D. Brink, “Minimum Spatial Entropy Threshold Selec-tion,” IEEE Proceedings, Vision Image and Signal Processing, Vol. 142, No. 3, 1995, pp. 128-132.
|
[12]
|
X. Li, Z. Zhao and H. D. Cheng, “Fuzzy Entropy Thre-shold Approach to Breast Cancer Detection,” Information Sciences, Vol. 4, No. 1, 1995, pp.49-56.
|
[13]
|
L. K. Huang and M. J. Wang, “Image Thresholding by Minimizing the Measure of Fuzziness,” Pattern Recogni-tion, Vol. 28, No. 1, 1995, pp. 41-51.
|
[14]
|
J. Kittler and J. Illingworth, “Minimum Error Threshold-ing,” Pattern Recognition, Vol. 19, No. 1, 1986, pp. 41-47.
|
[15]
|
Q. Ye and P. Danielsson, “On Minimum Error Thre-sholding and its Implementation,” Pattern Recognition Letters, Vol. 7, No. 4, 1988, pp. 201-206.
|
[16]
|
U. Gonzales-Baron and F. Butler, “A Comparison of Seven Thresholding Techniques with the K-Means Clus-tering Algorithm for Measurement of Bread-Crumb Fea-tures by Digital Image Analysis,” Journal of Food Engi-neering, Vol. 74, No. 2, 2006, pp. 268-278.
|
[17]
|
P. Y. Yin and L. H. Chen, “A Fast Iterative Scheme For Multilevel Thresholding Methods,” Signal Processing, Vol. 60, No. 3, 1997, pp. 305-313.
|
[18]
|
P. S. T. Liao, S. Chen and P. C. Chung, “A Fast Algo-rithm for Multilevel Thresholding,” Journal of Information Science and Engineering, Vol. 17, No. 5, 2001, pp. 713-727.
|
[19]
|
K. C. Lin, “Fast Image Thresholding by Finding Zero(S) of the First Derivative of between Class Variance,” Ma-chine Vision and Applications, Vol. 13, No. 5-6, 2003, pp. 254-262.
|
[20]
|
P.-Y. Yin and L.-H. Chen, “A Fast Iterative Scheme for Multilevel Thresholding Methods,” Signal Processing, Vol. 60, No. 3, 1997, pp. 305-313.
|
[21]
|
E. Cuevas, D. Zaldivar and M. Perez-Cisneros, “A Novel Multi-Threshold Segmentation Approach Based on Dif-ferential Evolution Optimization,” Expert Systems with Applications, Vol. 37, No. 7, 2010, pp. 5265-5271.
|
[22]
|
W. B. Tao, H. Jin and L. M. Liu, “Object Segmentation Using Ant Colony Optimization Algorithm and Fuzzy Entropy,” Pattern Recognition Letters, Vol. 28, No. 7, 2008, pp. 788-796.
|
[23]
|
P. Y. Yin, “A Fast Scheme for Optimal Thresholding Using Genetic Algorithms,” Signal Processing, Vol. 72, No. 2, 1999, pp. 85-95.
|
[24]
|
C. C. Lai and D. C. Tseng, “A Hybrid Approach Using Gaussian Smoothing and Genetic Algorithm for Multilevel Thresholding,” International Journal of Hybrid Intelligent Systems, Vol. 1, No. 3, 2004, pp. 143-152.
|
[25]
|
D. B. Fogel, “Evolutionary Computation: Toward a New Philosophy of Machine Intelligence,” 2nd Edition, IEEE Press, Piscataway, 2000.
|
[26]
|
J. Kennedy and R. Eberhart, “Particle Swarm Optimiza-tion,” Proceedings of the IEEE Conference on Neural Networks—ICNN’95, Perth, Vol. 4, 1995, pp. 1942-1948.
|
[27]
|
Y.-T. Kao, E. Zahara and I-W. Kao, “A Hybridized Ap-proach to Data Clustering,” Expert Systems with Applica-tions, Vol. 34, No. 3, 2008, pp. 1754-1762.
|
[28]
|
Z.-J. Lee, S.-W. Lin, S.-F. Su and C.-Y. Lin, “A Hybrid Watermarking Technique Applied to Digital Images,” Expert Systems with Applications, Vol. 8, No. 1, 2008, pp. 789-808.
|
[29]
|
C.-C. Tseng, J.-G. Hsieh and J.-H. Jeng, “Fractal Image Compression Using Visual-Based Particle Swarm Opti-mization,” Image and Vision Computing, Vol. 26, No. 8, 2008, pp. 1154-1162.
|