Automatic Image Segmentation Using Wavelet Transform Based On Normalized Graph Cut
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 6
Abstract
Model-Based image segmentation plays an important role in image analysis and image retrieval. To analyze the features of the image, model based segmentation algorithm will be more efficient. This paper, proposed Automatic Image Segmentation using Wavelets (AISWT) based on normalized graph cut method to make segmentation simpler. Discrete Wavelet Transform is considered for segmentation which contains significant information of the input for the approximation band of image. The Histogram based algorithm is used to obtain the number of regions and the initial parameters like mean, variance and mixing factor.
Authors and Affiliations
Prof. S. N. Dandare1 , Niraj N. Kant2
Keywords
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- EP ID EP99797
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