Abstract
In this study, a new segmentation algorithm based on a modified Dynamic Window-based gray-level Run-Length Coding (DW-RLC) applied to neighboring pixels is proposed. The method is applied to gray scale images, RGB color images, and images in the HLS color space. The proposed algorithm, which has a fast image segmentation performance from the experiments, can be categorized as a region growing method. Experimental results show that the proposed algorithm has several advantages in segmenting images.
Chapter PDF
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Chang I. and Park, R., “Segmentation Based on Fusion of Range and Intensity Images Using Robust Trimmed Methods,” Pattern Recognition, Vol. 34, No. 10, pp. 1951–1962, 2001.
Kettig, R. L. and Landgrebe, D. A., “Classification of multispectral image data by extraction and classification of homogeneous objects”, IEEE Trans. on Geoscience Electronics, Vol. GE-4, No. 1, January, pp.19–26, 1976.
Dubes, R. C., Jain, A. K., Nadabar, S. G. and Chen, C. C., “MRF Model-Based Algorithms For Image Segmentation,” IEEE International Conference (CH289805/90), pp. 808–814, 1990.
Umbaugh, S. B., Computer Vision and Image Processing: A Practical Approach Using CVIPtools, Prentice Hall PTR, 1998.
Kittler, J. and Foglein, J., “Contextual classification of multispectral pixel data,” Image and Vision Computing, Vol 2, No 1, 13–29, 1984.
Gurney, C. M. and Townshend, J. R. G., “The use of contextual information in the classification of remotely sensed data”, Photogrammetric Engineering and Remote Sensing, Vol. 49, No. 1, 55–64, 1983.
Rogers, D. F., “Procedural Elements For Computer Graphics, McGraw-Hill, pp. 85–88, 1985.
Foley, J. D., vanDam, A., Feiner, S. K., and Hughes, J. F., “Computer Graphics Principles and Practice”, Addison-Wesley, 1990.
Zhang, C. and P. Wang, P., “A new method of color image segmentation based on intensity and hue clustering”, International Conference on Pattern Recognition, Vol 3, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
McCallister, W.O., Hung, CC. (2003). Image Segmentation Using Dynamic Run-Length Coding Technique. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_47
Download citation
DOI: https://doi.org/10.1007/3-540-45103-X_47
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40601-3
Online ISBN: 978-3-540-45103-7
eBook Packages: Springer Book Archive