Frequently in character recognition, there is a need to correlate or convolve purely real 2-D inputs and real 2-D filters. We propose two optical correlators. The first, basic real-input-real-filter optical correlator...
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Frequently in character recognition, there is a need to correlate or convolve purely real 2-D inputs and real 2-D filters. We propose two optical correlators. The first, basic real-input-real-filter optical correlator, adds x and y mirror images adjacent to the image to generate real and even images. This avoids the need for an offset reference to capture phase. Therefore, we have greater diffraction efficiency and a reduction in filter LCD pixel size. The second, Hilbert transform basic real-input-real-filter optical correlator, uses a Hilbert transform by masking in the filter plane to reduce the number elements in the filter LCD to that of the number of pixels in a filter image. An optical system can generate the mirror images in real time so that both the input LCD and the filter LCD can have only the same number of elements as their respective number of image pixels. We show how a spatial filter can be used to remove the intensity offset produced in the Hilbert transform and restore shift invariance if required. Finally, if desired, some rotation invariance can be achieved by overlapping the mirror images with the basic correlator. Advantages and disadvantages of the proposed correlators are discussed.
In this paper we present some results on the research line of real-time correlation applied to optical pattern recognition. We present a real time optical correlator that uses two twisted nematic liquid crystal spatia...
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In this paper we present some results on the research line of real-time correlation applied to optical pattern recognition. We present a real time optical correlator that uses two twisted nematic liquid crystal spatial light modulators (SLM). This kind of SLM produces phase and amplitude coupled modulation. Phase modulation is useful for the implementation of phase only filters (POF), but the coupled amplitude modulation affects its performance. We present a model to evaluate the response of the phase-only filter (POF) implemented on a modulator with a restricted modulation and we show results on the optimal implementation of POF on this restricted coding domain. The phase modulation is also used for the implementation of the scene by means of phase-encoding algorithm. The performance of the phase-only filter has been improved for several performance criteria by the design of binary amplitude masks. We present a technique for the implementation of these optimized binary amplitude phase-only filters (BAPOF) using phase-mostly SLMs. Results obtained for the optimization of different criteria are presented. Finally, we present results on the application of these methods to color pattern recognition problems by a multichannel correlation.
The phase-encoded joint transform correlator as a decoder of an optical double random phase encoding system is described. By using the phase-encoded joint transform correlator, it is possible to decode the encrypted i...
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ISBN:
(纸本)081942921X
The phase-encoded joint transform correlator as a decoder of an optical double random phase encoding system is described. By using the phase-encoded joint transform correlator, it is possible to decode the encrypted image with the same random phase mask which was used in the encryption procedure. The decoding algorithm and opticalsystems are described. Computer simulations confirm the proposed decoding algorithm.
We review GaAs Fabry-Perot vertical cavity electro-optical devices constructed at Lockheed Martin Sanders, with particular attention to spatial light modulators and discuss a number of their applications. Our manufact...
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ISBN:
(纸本)081942921X
We review GaAs Fabry-Perot vertical cavity electro-optical devices constructed at Lockheed Martin Sanders, with particular attention to spatial light modulators and discuss a number of their applications. Our manufacturing processes enable the construction of large format, highly-uniform optical modulator and smart pixel arrays integrated with silicon CMOS VLSI circuitry. These devices can be used for a wide variety of applications including: optical computing for target recognition and signal processing, optical data routing, optical interconnect systems, and optical memory storage and access.
The theory of correlation filters does not make any assumptions about the sensor or image format. Thus the same class of algorithms is readily applicable to multiple sensor environments such as IR, SAR, LADAR, or CCD ...
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ISBN:
(纸本)081942921X
The theory of correlation filters does not make any assumptions about the sensor or image format. Thus the same class of algorithms is readily applicable to multiple sensor environments such as IR, SAR, LADAR, or CCD (visual). The advantage is that the same theory is valid for multiple sensor applications, the processing steps are common (and code) are re-usable in different sensor platforms, and the algorithms are rapidly re-trainable. The paper points out the key benefits resulting from the general formulation and solution resulting from the correlation approach to ATR.
A novel compact BNI architecture in free space is composed of symmetrical arrays of binary phase grating having advantages of high spatial density, no coupling material, wide bandwidth, low insertion loss, low crossta...
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ISBN:
(纸本)081942921X
A novel compact BNI architecture in free space is composed of symmetrical arrays of binary phase grating having advantages of high spatial density, no coupling material, wide bandwidth, low insertion loss, low crosstalk, compaciting system, easy cascading,etc..
The design of filters for pattern recognition that have optimal trade-offs among the criteria of noise robustness, sharpness of the correlation peak, and Horner efficiency when input scene noise is spatially disjoint ...
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ISBN:
(纸本)081942921X
The design of filters for pattern recognition that have optimal trade-offs among the criteria of noise robustness, sharpness of the correlation peak, and Horner efficiency when input scene noise is spatially disjoint (nonoverlapping) with the target are presented. Computer simulation is made to illustrate filter performances for optical pattern recognition.
An optical photorefractive joint transform correlator (PRJTC) was built using a twisted liquid crystal spatial light modulator in the input plane to display the images and a photorefractive crystal in the Fourier plan...
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ISBN:
(纸本)081942921X
An optical photorefractive joint transform correlator (PRJTC) was built using a twisted liquid crystal spatial light modulator in the input plane to display the images and a photorefractive crystal in the Fourier plane to perform the nonlinear correlation. We present here new correlation filters to optimize the correlation. There filters are correlated with the scene instead of the simple reference. To calculated these filters, we introduce two characteristics of the setup to optimize the filters : the nonlinearity of the photorefractive crystal. the coding domain of the displaying device.
The presence of turbulence such as maritime aerosols between the target and the observer degrades the detection and classification performance of electro-optical sensors and detectors. A filtering algorithm that takes...
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ISBN:
(纸本)081942921X
The presence of turbulence such as maritime aerosols between the target and the observer degrades the detection and classification performance of electro-optical sensors and detectors. A filtering algorithm that takes into account of the environmental degradation, the background non-overlapping noise, the non-stationarity of the scene, non-target objects and additive system noise is designed and implemented to detect and classify targets under such conditions. The detection performance of this algorithm has been validated using computer simulations and found to be superior to filters that are optimal with respect to noise statistics but do not take into account the effects of environmental conditions. The algorithm is then extended using a set of training images to be distortion-invariant with respect to different target aspects.
Nonlinear joint transform correlators (JTCs) have been proposed for opticalinformationprocessing. They have been shown to be attractive in many difficult instances because of their high discriminating performance. H...
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ISBN:
(纸本)081942921X
Nonlinear joint transform correlators (JTCs) have been proposed for opticalinformationprocessing. They have been shown to be attractive in many difficult instances because of their high discriminating performance. However, unlike the linear matched filter, which was designed on the basis of the statistical estimation theory before its implementation in optical correlators, investigations on nonlinear filtering techniques have been mostly experimental and their basic properties in terms of signal processing and pattern recognition still need theoretical analyses. We propose in this paper to analyze the optimal solutions obtained in the context of the statistical estimation theory when the spectral density of the additive gaussian noise is unknown. Maximum likelihood, maximum a posteriori and Bayesian solutions to this problem are discussed and practical consequences are analyzed. In particular, we show that nonlinear JTC methods can be considered as a first order, but very efficient, approximation of these optimal solutions.
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