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Query based Image Retrieval using Kekre’s, DCT and Hybrid wavelet Transform over 1st and 2nd Moment

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International Journal of Computer Applications
© 2011 by IJCA Journal
Number 1 - Article 1
Year of Publication: 2011
Authors:
H. B. Kekre
T. R. Gopalakrishnan Nair
10.5120/3891-5451

H B Kekre and Kavita Sonawane. Article: Query based Image Retrieval using Kekres, DCT and Hybrid wavelet Transform over 1st and 2nd Moment. International Journal of Computer Applications 32(4):13-18, October 2011. Full text available. BibTeX

@article{key:article,
	author = {H. B. Kekre and Kavita Sonawane},
	title = {Article: Query based Image Retrieval using Kekres, DCT and Hybrid wavelet Transform over 1st and 2nd Moment},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {32},
	number = {4},
	pages = {13-18},
	month = {October},
	note = {Full text available}
}

Abstract

In order to improve the accuracy and efficiency of the image retrieval systems vast research is going on in the direction of Content Based Image Retrieval instead of text based search of images which has got many constraints and drawbacks in the retrieval process. In this paper, we describe the novel techniques to retrieve similar images from large volume of databases based on contents. Feature extraction strategy of the proposed system is based on transform domain. Three different techniques are used to extract the image features using three transforms namely Kekre’s transform, Discrete Cosine transform and Hybrid wavelet transform which is constructed using combination of DCT and Kekre’s Transform. Experimental results obtained using these three approaches for 100 queries using database of 1000 bmp images. Results are obtained in two levels. Level 1 gives results for R, G and B plane separately, Level 2 combines these results by taking combination of three planes based on three different criteria. Retrieval of similar images increases as we move forward from Criterion 1 to Criterion 3. It is observed that hybrid wavelet is giving fast and better retrieval results as compare to DCT and Kekre’s transform.

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