In this paper we use and extend a parallel optoelectronic processor for image preprocessing and implement software tools for testing and evaluating the presented algorithms. After briefly introducing the processor and...
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In this paper we use and extend a parallel optoelectronic processor for image preprocessing and implement software tools for testing and evaluating the presented algorithms. After briefly introducing the processor and showing how images can be stored in it, we adapt a number of local image preprocessing algorithms for smoothing, edge detection, and corner detection, such that they can be executed on the processor in parallel. These algorithms are performed on all pixels of the input image in parallel and, as a result, in steps independent of its dimensions. We also develop a compiler and a simulator for evaluating and verifying the correctness of our implementations. (C) 2015 Elsevier Ltd. All rights reserved.
The technical issues involved in the construction of smart pixels are discussed from the viewpoint of their system applications to both image processing and optical interconnections. The smart pixels for image process...
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ISBN:
(纸本)0819438960
The technical issues involved in the construction of smart pixels are discussed from the viewpoint of their system applications to both image processing and optical interconnections. The smart pixels for image processing are aiming at sensing and processing images by one chip. The smart pixels for chip-to-chip interconnects are aiming at eliminating the pin-bottleneck among LSI chips.
An opticalparallel processor for an image recognition system using microoptical devices has been developed. This system expands input images to coefficients of a two-dimensional Walsh spatial frequency domain and dis...
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An opticalparallel processor for an image recognition system using microoptical devices has been developed. This system expands input images to coefficients of a two-dimensional Walsh spatial frequency domain and discriminates them by performing the inner product to the reference filter. In this paper, we demonstrate paralleloptical discrimination of Arabic numerals using this method. First, the mechanism of this recognition method is presented. Next, the reference filter is designed. II order to implement the reference filter by using the microoptical devices, the fabrication problems were solved. Finally, the recognition system is constructed and effects of deformation on the input image are experimentally evaluated.
We demonstrate and elucidate the local selectable inversion of the hysteresis shape of a bistable optical signal after fan-out. This selectability is based on a hysteresis-shape transformation that yields a switching ...
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We demonstrate and elucidate the local selectable inversion of the hysteresis shape of a bistable optical signal after fan-out. This selectability is based on a hysteresis-shape transformation that yields a switching contrast over 20 dB in magnitude for both the inversion clockwise (CW) and the non-inversion counterclockwise (CCW) hysteresis shapes, while maintaining input-switching powers. This behavior leverages an initial signal whose bistability is manifested by its state of polarization;a generalized Malus' law elucidates how selection is possible by controlling the transmittivity hysteresis through each local polarizer. The concept is demonstrated using a Fabry-P & eacute;rot semiconductor optical amplifier to produce the initial bistable polarization-rotating signal, followed by a 1 x 2 fan-out and the realization of all four hysteresis shapes at each location, independent of the other location. This fan-out and selectable inversion behavior is applicable to other nonlinear photonic systems and provides new functionality for parallel optical processing.
We have developed a paralleloptical preprocessor for a pattern recognition system using a planar microlens array and a Walsh orthogonal expansion spatial filter. We experimentally demonstrated the paralleloptical Wa...
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We have developed a paralleloptical preprocessor for a pattern recognition system using a planar microlens array and a Walsh orthogonal expansion spatial filter. We experimentally demonstrated the paralleloptical Walsh expansion of multiple images made by the planar microlens array with good accuracy, which assures 99% recognition of simple numeral characters in the system. In order to enlarge the tolerance of the recognition rate against the deformation of input patterns, we propose a novel selection method of Walsh expansion coefficients. From the computer simulation, we confirmed that 5% transverse shifts and 20-degrees rotation of input patterns are allowable with the optimization of the spatial filter using this method.
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