Title :
A digital retina-like low level vision processor
Author :
Mertoguno, S. ; Bourbakis, N.
Author_Institution :
Dept. of Electr. Eng., Binghamton Univ., NY, USA
Abstract :
Presents the basic design and the simulation of a low level multi-layer vision processor that emulates to some degree the functional behavior of a human retina. This retina-like multi-layer processor is the lower part of an autonomous self-organized vision system, called Kydon, which could be used on visually impaired people with a damaged visual cerebral cortex. The retina-like processor consists of four major layers, where each is an array processor that performs a certain set of low level vision tasks, such as smoothing and light adaptation, edge detection, segmentation, line recognition and region-graph generation. At each layer the array processor is a 2-D array of kxm hexagonal identical autonomous cells that simultaneously execute certain tasks. Thus, in this paper the hardware design and the entire simulation of the retina-like processor with illustrative examples are provided
Keywords :
computer vision; edge detection; eye; handicapped aids; image segmentation; medical image processing; parallel machines; Kydon; damaged visual cerebral cortex; digital retina-like low level vision processor; hardware design; human retina; human retina functional behavior emulation; low level multi-layer vision processor; visually impaired people; Adaptive arrays; Brain modeling; Cerebral cortex; Hardware; Humans; Image edge detection; Machine vision; Optical arrays; Retina; Smoothing methods;
Conference_Titel :
Bio-Informatics and Biomedical Engineering, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7695-0862-6
DOI :
10.1109/BIBE.2000.889616