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.

[1]  P.K. Biswas,et al.  Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[2]  Hans Burkhardt,et al.  Colour image retrieval based on DCT-domain vector quantisation index histograms , 2005 .

[3]  Minh N. Do,et al.  Ieee Transactions on Image Processing the Contourlet Transform: an Efficient Directional Multiresolution Image Representation , 2022 .

[4]  Manesh Kokare,et al.  Colour and Texture Features for Content Based Image Retrieval , 2006, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06).

[5]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[6]  Michael J. Swain,et al.  Indexing via color histograms , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[7]  Jing Huang,et al.  Combining supervised learning with color correlograms for content-based image retrieval , 1997, MULTIMEDIA '97.

[8]  Hamid Abrishami Moghaddam,et al.  Wavelet correlogram: A new approach for image indexing and retrieval , 2005, Pattern Recognit..

[9]  Hamid Abrishami Moghaddam,et al.  A new algorithm for image indexing and retrieval using wavelet correlogram , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[10]  Hamid Abrishami Moghaddam,et al.  Gabor Wavelet Correlogram Algorithm for Image Indexing and Retrieval , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[11]  Soontorn Oraintara,et al.  Texture image retrieval using complex directional filter bank , 2006, 2006 IEEE International Symposium on Circuits and Systems.

[12]  King-Sun Fu,et al.  Shape Discrimination Using Fourier Descriptors , 1977, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Prabir Kumar Biswas,et al.  Texture image retrieval using new rotated complex wavelet filters , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[14]  R. P. Maheshwari,et al.  Color and Texture Features for Image Indexing and Retrieval , 2009, 2009 IEEE International Advance Computing Conference.

[15]  R. P. Maheshwari,et al.  Multiscale Ridgelet Transform for content based image retrieval , 2010, 2010 IEEE 2nd International Advance Computing Conference (IACC).

[16]  Ramin Zabih,et al.  Comparing images using color coherence vectors , 1997, MULTIMEDIA '96.

[17]  Prabir Kumar Biswas,et al.  Texture image retrieval using rotated wavelet filters , 2007, Pattern Recognit. Lett..

[18]  Hamid Abrishami Moghaddam,et al.  A Novel Evolutionary Approach for Optimizing Content-Based Image Indexing Algorithms , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[19]  Alireza Ahmadian,et al.  An efficient texture classification algorithm using Gabor wavelet , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[20]  Emmanuel J. Candès,et al.  The curvelet transform for image denoising , 2002, IEEE Trans. Image Process..

[21]  Hamid Abrishami Moghaddam,et al.  Enhanced wavelet correlogram methods for image indexing and retrieval , 2005, IEEE International Conference on Image Processing 2005.

[22]  Shih-Fu Chang,et al.  Automated binary texture feature sets for image retrieval , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[23]  Markus A. Stricker,et al.  Similarity of color images , 1995, Electronic Imaging.