Image databases: an approach for image segmentation & color reduction analysis & synthesis

Authors:
Irena Valova;Boris Rachev
Affiliations:
University of Rousse;TU - Varna
Venue:
CompSysTech '03 Proceedings of the 4th international conference conference on Computer systems and technologies: e-Learning
Year:
2003

Citing 4
Cited 0

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Abstract

In this paper, we describe a system for image databases organization and retrieval based on the pictorial content representation. We suggest extending the use of image histograms to characterize the global and local color properties of an image and examine the effect of the degree of image segmentation and a number of known color reduction algorithms on the time taken for image database creation and retrieval and on the size of the metadata, extracted from the images. We drew the following conclusions from the analysis of the results of our experiments: the color reduction algorithms have a relatively small effect while the size of the database and the times taken for creation and retrieval increase significantly if the image segmentation is above 16×16. We have also concluded that this type of structure should be based on a hierarchical method of segmentation.