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.