A correlogram algorithm for image indexing and retrieval using wavelet and Rotated Wavelet Filters

In this paper, a new image-indexing algorithm with the combination of wavelet and Rotated Wavelet Correlogram (RWC) is proposed in contrast to the Gabor Wavelet Correlogram (GWC). The 0° and 90° information (sub-band) of image collected from Standard Wavelet Filters (SWFs) and +45° and −45° are collected from Rotated Wavelet Filters (RWFs) and further used for correlogram feature calculation. The data handling with proposed method is very less compared with GWC therefore this method is six times faster than the GWC, which make it suitable for online application. The retrieval results of the proposed method are tested on three different databases, i.e., Corel 1000 (DB1) natural image database, MIT VisTex (DB2) texture image database and Corel 2450 (DB3) natural image database. The results after being investigated show a significant improvement in terms of their evaluation measures as compared with most of existing techniques on respective databases.