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Fast Image Retrieval Based on Attributes of the Human Visual System

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5 Author(s)
Panitsidis, G. ; Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi ; Konstantinidis, K. ; Vonikakis, V. ; Andreadis, I.
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In this paper we present a new method for content-based image retrieval (CBIR), based on the retinal signal processing of the human visual system (HVS). A center-surround operator similar to the receptive fields of the ganglion cells of the retina is employed to create a new form of color histogram, the center-surround histogram (CSH). Unlike other proposed color histograms, the CSH takes into consideration only the visual signal surrounding the zero-crossings of an image. This reduces the processed amount of visual information and minimizes the computational burden. Furthermore, a combination of spatial and chromatic information of the image is also achieved. The method is compared to other contemporary methods for image retrieval, exhibiting better results in shorter computational times

Published in:

Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th Nordic

Date of Conference:

7-9 June 2006