Title :
An Electrooptic Multiple-Quantum-Well Device for Image Processing
Author :
Vianna, Celso J. ; de Souza, E.A.
Author_Institution :
Nucleo de Fis., Univ. Fed. de Sergipe, Sao Cristovao
fDate :
6/1/2009 12:00:00 AM
Abstract :
We investigated the use of an analog self-electrooptic effect device based on GaAs multiple quantum wells as an image processor chip to early vision processes. We focused our attention at the edge detection process using layouts of photodetectors to extract Laplacians of images. Laplacians of linear, constant, step, and Gaussian intensity profiles agree with the expected values. These results show that the device works properly as an edge detector.
Keywords :
Gaussian distribution; III-V semiconductors; Laplace equations; edge detection; electro-optical devices; electro-optical effects; feature extraction; gallium arsenide; optical images; optical materials; photodetectors; quantum well devices; semiconductor quantum wells; GaAs; Gaussian intensity profile; Laplacian extraction; analog self-electrooptic effect device; edge detection process; image processor chip; multiple-quantum-well device; photodetectors; vision process; Detectors; Electrooptic devices; Gallium arsenide; Humans; Image edge detection; Image processing; Laplace equations; Photodetectors; Physics; Quantum well devices; Convolution; machine vision; optical image processing; quantum-well (QW) devices;
Journal_Title :
Quantum Electronics, IEEE Journal of
DOI :
10.1109/JQE.2009.2013109
