COLOR IMAGE SEGMENTATION USING VECTOR QUANTIZATION TECHNIQUES
Published: 2009
Author(s) Name: H. B. Kekre, T. K. Sarode and B. Raul
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Abstract
In this paper we introduce vector quantization based segmentation approach that is specifically designed to
segment low-altitude aerial images, as a preprocessing step to 3D reconstruction. This approach uses color
similarity and volume difference criteria to merge adjacent regions. Experiments performed with real aerial
images of varied nature demonstrate that this approach does not result in over segmentation or under
segmentation allowing large-scale urban scenes to be segmented in an accurate, reliable and fully automatic
way. The vector quantization seems to give far better results as compared to conventional on-the-fly watershed
algorithm.
Key words : Image Segmentation, Vector Quantization, Watershed Segmentation, Region Merging
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