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Implementation of a Biologically Inspired Diffusive Filling-In Algorithm for Focal-Plane Image Processing Applications

Home  >>  Events  >>  XI BRAZILIAN CONGRESS ON COMPUTATIONAL INTELLIGENCE – CBIC 2013  >>  Implementation of a Biologically Inspired Diffusive Filling-In Algorithm for Focal-Plane Image Processing Applications

Title: Implementation of a Biologically Inspired Diffusive Filling-In Algorithm for Focal-Plane Image Processing Applications

Authors: Santos, Genildo Nonato; Gomes, José Gabriel Rodriguez Carneiro

Abstract: The investigation of electronic devices as a replacement for the biological retina has achieved considerable interest over the last years. Tests of retinal prostheses in living patients have led to encouraging results. Such devices can be thought of as image sensors which are created with CMOS technology. Thanks to CMOS fabrication techniques, signal processing hardware can be integrated at the same silicon area where the light sensors are located. The signals generated on the retina are used by different neural mechanisms which are responsible for visual perception, motion detection, depth map construction, and so forth. The knowledge of how these neural mechanisms work, and how they interact with the retina, will enable the development of prostheses for parts of the neural visual system beyond the retina. An interesting feature of the visual system which has not been exploited in terms of hardware is the diffusive filling-in mechanism. It is believed that this mechanism enables the perceptual reconstruction of surfaces. In this work we investigate the implementation of the filling-in mechanism details. Our goal is to gather information that will be useful for the development of hardware devices with features similar to those found in this visual perception mechanism.

Keywords: Difference-of-gaussian filter; computer vision; blind spot; diffusive filling-in process; perceptual reconstruction

Pages: 6

DOI: 10.21528/CBIC2013-144

Paper as PDF: bricsccicbic2013_submission_144.pdf

BibTex file: bricsccicbic2013_submission_144.bib