WaveCluster for Remote Sensing Image Retrieval

Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 2

Abstract

Wave Cluster is a grid based clustering approach. Many researchers have applied wave cluster technique for segmenting images. Wave cluster uses wave transformation for clustering the data item. Normally it uses Haar, Daubechies and Cohen Daubechies Feauveau or Reverse Bi-orthogonal wavelets. Symlet, Biorthogonal and Meyer wavelet families have been used in this paper to compare its clustering capacity and then results of this are used to retrieve the remote sensing image. The results are promising suggesting that Cohen Daubechies or Reverse Biorthogonal gives best result as compared to other four wavelet families.

Authors and Affiliations

Priti Maheshwary , Namita Srivastava

Keywords

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  • EP ID EP113568
  • DOI -
  • Views 98
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How To Cite

Priti Maheshwary, Namita Srivastava (2011). WaveCluster for Remote Sensing Image Retrieval. International Journal on Computer Science and Engineering, 3(2), 976-979. https://europub.co.uk./articles/-A-113568