@article{(Open Science Index):https://publications.waset.org/pdf/9491,
	  title     = {Color Image Segmentation Using Kekre-s Algorithm for Vector Quantization},
	  author    = {H. B. Kekre and  Tanuja K. Sarode and  Bhakti Raul},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper we propose segmentation approach based
on Vector Quantization technique. Here we have used Kekre-s fast
codebook generation algorithm for segmenting low-altitude aerial
image. This is used as a preprocessing step to form segmented
homogeneous regions. Further to merge adjacent regions color
similarity and volume difference criteria is used. Experiments
performed with real aerial images of varied nature demonstrate that
this approach does not result in over segmentation or under
segmentation. The vector quantization seems to give far better results
as compared to conventional on-the-fly watershed algorithm.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {2},
	  number    = {9},
	  year      = {2008},
	  pages     = {2034 - 2039},
	  ee        = {https://publications.waset.org/pdf/9491},
	  url   	= {https://publications.waset.org/vol/21},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 21, 2008},