Abstract
In this paper, we utilize the physiological mechanism of non-classical receptive field and design a hierarchical network model for image representation based on neurobiology. It is different from the contour detection, edge detection, and other practices using the classical receptive fields, simulating the non-classical receptive fields physiological mechanism which can be dynamically adjusted according to stimulation for image local segmentation and compression based on image neighborhood region similarity, thus to realize the inner image representation in neural representation level and convenient for extract the semanteme further. © 2012 Springer-Verlag.
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CITATION STYLE
Wei, H., Wang, Z. Y., & Zuo, Q. S. (2012). A model of image representation based on non-classical receptive fields. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7368 LNCS, pp. 297–306). https://doi.org/10.1007/978-3-642-31362-2_34
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