Abstract
In this paper, we present a new visual attention system which is able to detect attentive areas in the images with non-uniform resolution. Since, one of the goals of the visual attention systems is simulating of human perception, and in human visual system the foveated images processed, therefore, visual attention systems should be able to identify the saliency region to these images. We test the system by two types of the images: real world and artificial images. Real world images include the cloth images with some defect, and the system should detect these defects. In artificial images, one element is different from the others only in one feature and the system should detect it.
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Yavari, A., Pourreza, H. (2008). Visual Attention in Foveated Images. In: Sobh, T. (eds) Advances in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8741-7_4
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DOI: https://doi.org/10.1007/978-1-4020-8741-7_4
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8740-0
Online ISBN: 978-1-4020-8741-7
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