Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 24
Page No. 5028 - 5037

Robust Automatic Color Image Region Segmentation

Authors : A. Kalaivani and S. Chitrakala

References

Abdullah, S.L.S., H.A. Hambali and N. Jamil, 2012. An accurate thresholding-based segmentation technique for natural images. Proceedings of the 2012 IEEE Symposium on Humanities, Science and Engineering Research (SHUSER), June 24-27, 2012, IEEE, Kuala Lumpur, Malaysia, ISBN: 978-1-4673-1311-7, pp: 919-922.

Bora, D.J., A.K. Gupta and F.A. Khan, 2015. Comparing the performance of L*A*B* and HSV color spaces with respect to color image segmentation. Int. J. Emerging Technol. Adv. Eng., 5: 192-203.
Direct Link  |  

Choong, M.Y., W.Y. Kow, Y.K. Chin, L. Angeline and K.T.K. Teo, 2012. Image segmentation via normalised cuts and clustering algorithm. Proceedings of the International Conference on Control System, Computing and Engineering, November 23-25, 2012, Penang, Malaysia, pp: 430-435.

Huang, C., Q. Liu and X. Li, 2010. Color image segmentation by seeded region growing and region merging. Proceedings of the 2010 7th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Aug 10-12, 2010, IEEE, Yantai, China, ISBN: 978-1-4244-5931-5, pp: 533-536.

Jayasree, M. and N.K. Narayanan, 2015. Image segmentation based on multiple means using class division method. Proceedings of the 2015 IEEE International Conference on Industrial Instrumentation and Control (ICIC), May 28-30, 2015, IEEE, Pune, India, pp: 1264-1267.

Kiruthika, V. and M.M. Ramya, 2014. Automatic segmentation of ovarian follicle using k-means clustering. Proceedings of the 5th International IEEE Conference on Signal and Image Processing (ICSIP), January 8-10, 2014, Jeju Island, pp: 137-141.

Lassalle, P., J. Inglada, J. Michel, M. Grizonnet and J. Malik, 2015. A scalable tile-based framework for region-merging segmentation. Geosci. Remote Sens. IEEE. Trans., 53: 5473-5485.
CrossRef  |  Direct Link  |  

Mul, Y.G. and A.V. Gokhale, 2012. Color image segmentation based on automatic seed pixel selection. Int. J. Comput. Eng. Manage. (IJCEM.), 1: 11-14.
Direct Link  |  

Peng, B., L. Zhang and D. Zhang, 2011. Automatic image segmentation by dynamic region merging. Image Process. IEEE. Trans., 20: 3592-3605.
CrossRef  |  Direct Link  |  

Sujatha, K., 2015. Brain tumour segmentation using clustering and EM segmentation. Intl. J. Appl. Eng. Res., 10: 29105-29119.

Tao, W., H. Jin and Y. Zhang, 2007. Color image segmentation based on mean shift and normalized cuts. Syst. Man Cybern. Part B IEEE. Trans., 37: 1382-1389.
CrossRef  |  PubMed  |  Direct Link  |  

Yedla, M., S.R. Pathakota and T.M. Srinivasa, 2010. Enhancing K-means clustering algorithm with improved initial center. Int. J. Comput. Sci. Inform. Technol., 1: 121-125.
Direct Link  |  

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