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Hardware architecture for hierarchical segmentation in foveal images
Author(s) -
Coslado F. J.,
Camacho P.,
González M.,
Sandoval F.
Publication year - 2004
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20019
Subject(s) - computer science , foveal , segmentation , computer vision , artificial intelligence , computer graphics (images) , process (computing) , cartesian coordinate system , computer hardware , retinal , biochemistry , chemistry , geometry , mathematics , operating system
Foveal sensors can substantially increase the performance of active vision systems because of their ability to handle wide field of view and simultaneously reduce the data/bandwidth with space variant sensing. To process the multiresolution images and associated data structures, a new hierarchical processing has been applied to minimize data communications and retrieval. In this article, we present a hardware platform that implements a level sequential segmentation algorithm in one of these hierarchical structures based on a Cartesian lattice topology. The platform operates in real time, at speeds in the range of 25 to 85 frames/s, using a digital uniform‐resolution camera as the source to generate and process the multiresolution images. © 2004 Wiley Periodicals, Inc. Int J Imaging Syst Technol 14, 153–166, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20019