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Query by Image Content Using Colour Averaging Techniques

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Author(s): Dr. H.B.Kekre | Sudeep D. Thepade | Akshay Maloo

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 2;
Issue: 6;
Start page: 1612;
Date: 2010;
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Keywords: Content Based Image Retrieval (CBIR) | Row Mean | Column Mean | Diagonal Mean.

ABSTRACT
The paper presents six innovative content based image retrieval (CBIR) techniques based on colour averaging. The color averaging methods used here are row mean, column mean, forward diagonal mean, backward diagonal mean, row & column mean and forward & backward diagonal mean. Here the feature vector size per image is greatly reduced by using row, column and diagonal mean, then colour averaging is applied to calculate precision and recall to calculate the performance of the algorithm. Instead of using all pixel data of imageas feature vector for image retrieval, these six feature vectors can be used, resulting into better performance and lower computations.The proposed CBIR techniques are tested on generic image database having 1000 images spread across 11 categories and COIL image atabase having 1080 images spread across 15 categories. For each proposed CBIR technique 75 queries (5 per category) are fired on the generic image database and 55 queries (5 per category) are fired on the COIL image database. To compare the performance of image retrieval techniques average precision and recall are computed of all queries. The results have shown the performance improvement (higher precision and recall values) with proposed methods compared to all pixel data of image at reduced computations resulting in faster retrieval.
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