Asian Journal of Information Technology
765 - 771
Balasubramanian, G.P., E. Saber, V. Misic, E. Peskin and M. Shaw, 2008. Unsupervised color image segmentation using a dynamic color gradient thresholding algorithm. Hum. Vision Electr. Imaging, Vol. 13. 10.1117/12.766184
Calderero, F. and F. Marques, 2010. Region merging techniques using information theory statistical measures. IEEE Trans. Image Process., 19: 1567-1586.CrossRef | Direct Link |
Celik, T. and T. Tjahjadi, 2010. Unsupervised colour image segmentation using dual-tree complex wavelet transform. Comput. Vision Image Understanding, 114: 813-826.CrossRef | Direct Link |
Deng, Y. and B.S. Manjunath, 2001. Unsupervised segmentation of color-texture regions in images and video. IEEE Trans. Pattern Anal. Mach. Intell., 23: 800-810.CrossRef | Direct Link |
Fan, J., D.K. Yau, A.K. Elmagarmid and W.G. Aref, 2001. Automatic image segmentation by integrating color-edge extraction and seeded region growing. IEEE Trans. Image Process., 10: 1454-1466.CrossRef | Direct Link |
Gevers, T., 2002. Adaptive image segmentation by combining photometric invariant region and edge information. IEEE Trans. Pattern Anal. Mach. Intell., 24: 848-852.CrossRef | Direct Link |
Gonzalez, R.C. and R.E. Woods, 2008. Digital Image Processing. 3rd Edn., Prentice Hall, New Jersey, USA., ISBN-13: 9780131687288, Pages: 954.
Lankton, S. and A. Tannenbaum, 2008. Localizing region-based active contours. IEEE Trans. Image Process., 17: 2029-2039.CrossRef |
Martin, D., C. Fowlkes, D. Tal and J. Malik, 2001. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. Proceedings of the 8th International Conference on Computer Vision, July 7-14, 2001, California University Berkeley, CA., USA., pp: 416-423.
Navon, E., O. Miller and A. Averbuch, 2005. Color image segmentation based on adaptive local thresholds. Image Vision Comput., 23: 69-85.CrossRef | Direct Link |
Nguyen, H.T., M. Worring and R. Van Den Boomgaard, 2003. Watersnakes: Energy-driven watershed segmentation. IEEE Trans. Pattern Anal. Mach. Intell., 25: 330-342.CrossRef | Direct Link |
Nielsen, F. and R. Nock, 2003. On region merging: The statistical soundness of fast sorting, with applications. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2, June 18-20, 2003, Tokyo, Japan, pp. II-19-26.
Nock, R. and F. Nielsen, 2004. Statistical region merging. IEEE Trans. Pattern Anal. Mach. Intell., 26: 1452-1458.CrossRef |
Shih, F.Y. and S. Cheng, 2005. Automatic seeded region growing for color image segmentation. Image Vision Comput., 23: 877-886.CrossRef | Direct Link |
Ugarriza, L.G., E. Saber, S.R. Vantaram, V. Amuso, M. Shaw and R. Bhaskar, 2009. Automatic image segmentation by dynamic region growth and multiresolution merging. IEEE Trans. Image Process., 18: 2275-2288.CrossRef | Direct Link |
Unnikrishnan, R. and M. Hebert, 2005. Measures of similarity. Proceedings of the 7th IEEE Workshops on Application of Computer Vision, Volume 1, January 5-7, 2005, Breckenridge, CO., pp: 394-394.