Abstract
Studies in Visual Attention (VA) and eye movements have shown that humans generally only attend a few regions of interest (ROIs) in an image. The idea is to perform image analysis only on a small neighborhood of each ROI. This regions can be thought of as the most informative parts of the image, and as such can be analyzed with respect to colors, textures, and shapes. In this paper we will focus on color-driven blob extraction. Inspiration from the human retina guides the definition of neighborhood of a ROI, while psychological factors in human color perception are used to drive color selection.
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Falcoz, P. (2008). Simple Perceptually-Inspired Methods for Blob Extraction. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85563-7_53
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DOI: https://doi.org/10.1007/978-3-540-85563-7_53
Publisher Name: Springer, Berlin, Heidelberg
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