Fast Image Retrieval Based on Attributes of the Human Visual System

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,...

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Bibliographic Details
Main Authors: Panitsidis, G., Konstantinidis, K., Vonikakis, V., Andreadis, I., Gasteratos, A.
Format: Conference Proceeding
Language:English
Subjects:
Content based retrieval
Histograms
Humans
Image databases
Image retrieval
Laboratories
Multimedia databases
Retina
Robotics and automation
Visual system
Online Access:Request full text
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Summary: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
DOI:10.1109/NORSIG.2006.275224