Enhancing capabilities of Texture Extraction for Color Image Retrieval

Authors: Pranam Janney, Sridhar G, Sridhar V.

Abstract:

Content-Based Image Retrieval has been a major area of research in recent years. Efficient image retrieval with high precision would require an approach which combines usage of both the color and texture features of the image. In this paper we propose a method for enhancing the capabilities of texture based feature extraction and further demonstrate the use of these enhanced texture features in Texture-Based Color Image Retrieval.

Keywords: Image retrieval, texture feature extraction, color extraction

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078354

References:

[1] Kato,T .,"Database architecture for content based image retrieval in Image storage and Retrieval Systems" (Jambardino A and Niblack W eds), Proc SPIE 2185, pp 112-123,1992.
[2] Flickner,M . et al., "Query by Image and Video content: the QBIC system",IEEE Computer,vol 28, pp23-32,1995.
[3] Bach,J.R.,et al.,"The virage image search engine: an open framework for image management", Proc. SPIE:Storage and retrieval for Still Image and Video Databases IV,vol 2670, pp 76-87,1996.
[4] Hu, M.K.,"Visual pattern recognition by moments invariants", IRE Transactions on Information Theory, IT-8, pp. 179-187, 1962.
[5] Gonzalez R.C. and Wints P.,Digital Image Processing, Addison-Wesley Reading,MA,1992.
[6] Persoon, E. and Fu, K. S..,"Shape discrimination using Fourier descriptors",IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 8,pp 388-397,1986
[7] Freeman, H., "On the encoding of arbitrary geometric configurations", IRE Ttrans. On Electronic Computers,vol EC-10,pp 260-268,1961
[8] Zhang, D. and Lu, G., "Review of shape representation and description techniques", Pattern Recognition, 37(1),pp 1-19,2004
[9] Jain, A.K. and Vailaya, A., "Image Retrieval using Color and Shape",Pattern Recognition,vol 36,pp 1233 - 1244,August 1996.
[10] Canny, J., "Computational approach to edge detection", IEEE trans. Pattern Analysis and Machine Intelligence, PAMI -8 ,pp 679-698,1986.
[11] Charles, E. J. et al. "Fast Multiresolution Image Querying", Appeared in Proc SIGGRAPH,August 1995
[12] Avinash, T. et al,"PATSEEK: Content Based Image Retrieval System for Patent Database", International Conference on Electronic Business, 2004.
[13] Mahmoudi, F. et al,. "Image Retrieval based on shape similarity by edge orientation autocorrelogram", Pattern recognition, vol 36, pp1725-1736, 2003.
[14] Kingsbury, N.G.,"The Dual Tree Complex Wavelet Transform: a new efficient tool for image restoration and enhancement",Proc. European Signal Processing Conf., pp319-322,Spetempber 1998.
[15] Tian, Q. et al, "Content-Based Image Retrieval Using Wavelet-based Salient Points", Appeared in Proc. SPIE Storage and Retrieval for Media Databases, January 2001.
[16] Peter, R. and Kingsbury, N.,"Complex Wavelets Features for Fast Texture Image retrieval", Proc IEEE Int. Conf. on Image Processing, Kobe, Oct 25-28, 1999.
[17] "Columbia object image library (COIL-100)", Department of Computer Science, Columbia University, www.cs.columbia.edu/CAVE/research/softlib/coil-100.html