Igor Stojanovic; Aleksandra Mileva; Dragana Stojanovic; Ivan Kraljevski

Image Recognition by Using the Progressive Wavelet Correlation

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Author(s)

Igor Stojanovic ^1,* Aleksandra Mileva ¹ Dragana Stojanovic ² Ivan Kraljevski ³

1. Faculty of Computer Science, „Goce Delcev‟ University - Stip, Macedonia

2. Faculty of Medical Science, „Goce Delcev‟ University - Stip, Macedonia

3. Institute of Acoustics and Speech Communication, Faculty of Electrical Engineering and Information Technology, TU Dresden, Dresden, Germany

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2012.09.01

Received: 25 May 2012 / Revised: 5 Jul. 2012 / Accepted: 10 Aug. 2012 / Published: 8 Sep. 2012

Index Terms

Discrete cosine transform, Multi-resolution, Progressive wavelet correlation, Recognition, Wavelets

Abstract

An algorithm for image recognition and retrieval of image from image collection is developed. Basis of the algorithm is the progressive wavelet correlation. The recognition consists of three incremental steps, each of them quadruples the number of correlation points. The process can be aborted at any stage if the intermediate results indicate that the correlation will not result in a match. The final result is the recognition and retrieval of the required image, if exists in the image collection. Instructions for the choice of correlation threshold value for obtaining desired results are defined. We perform a series of image search experiments that cover the following scenarios: the given image is present in the database; copies of the given image are present but with different names; similar (but not identical) images are present; and the given image is not present. Experiments are performed with data bases up to 1000 images, using the Oracle database and the Matlab component Database Toolbox for operations with databases.

Cite This Paper

Igor Stojanovic,Aleksandra Mileva,Dragana Stojanovic,Ivan Kraljevski,"Image Recognition by Using the Progressive Wavelet Correlation", IJIGSP, vol.4, no.9, pp.1-7, 2012. DOI: 10.5815/ijigsp.2012.09.01

Reference

[1]M. Flickner, H. Sawhney, W. Niblack, et al, “Query by image and video content: The QBIC system,” IEEE Comp., vol. 28, pp. 23-32, Sept. 1995.

[2]J. R. Smith and S. F. Chang, “Querying by color regions using the VisualSEEk content-based visual query system” Intelligent Multimedia Information Retrieval (Maybury, MT, ed). AAAI Press, Menlo Park, CA, 23-41, 1997a.

[3]J. R. Smith and S. F. Chang, “An image and video search engine for the World-Wide Web” in Storage and Retrieval for Image and Video Databases V (Sethi, I K and Jain, R C, eds), Proc SPIE 3022, 84-95, 1997b.

[4]S. Sclaroff, L. Taycher, and M. La Cascia, “Imagerover: A content-based image browser for the world wide web,” IEEE Wksp. Content-Based Access of Image and Video Libraries, pp. 2–9, June 1997.

[5]H. S. Stone, “Progressive Wavelet Correlation Using Fourier Methods,” IEEE Trans Signal Processing, vol. 47, pp. 97-107, Jan. 1999.

[6]H. S. Stone, “Image Libraries and the Internet,” IEEE Commun. Magazine, pp. 99-106, Jan. 1999.

[7]G. K. Wallace, “The JPEG still-picture compres¬sion standard”, Commun. ACM, vol. 34, no.4, pp. 30-44, Apr. 1991.

[8]Sagarmay Deb, Multimedia Systems and Content-Based Image Retrieval, , University of Southern Queensland, Australia, 2004.

[9]Ritendra Datta, Dhiraj Joshi, Jia Li and James Z. Wang, “Image Retrieval: Ideas, Influences, and Trends of the New Age,” ACM Computing Surveys, vol. 40, no. 2, article 5, pp. 5:1-60, April 2008.

International Journal of Image, Graphics and Signal Processing (IJIGSP)