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
  • DOI -
  • Views 92
  • Downloads 0

How To Cite

Prof. S. N. Dandare1, Niraj N. Kant2 (2014).  Automatic Image Segmentation Using Wavelet Transform Based On Normalized Graph Cut. International Journal of Modern Engineering Research (IJMER), 4(6), 47-50. https://europub.co.uk/articles/-A-99797