A novel all-optical parallel switching device was proposed based on photoinduced changes of a complex refractive index in a guided mode thin film composed of silver and polymer containing organic dyes. An incident ang...
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ISBN:
(纸本)081942921X
A novel all-optical parallel switching device was proposed based on photoinduced changes of a complex refractive index in a guided mode thin film composed of silver and polymer containing organic dyes. An incident angle of a probe beam. was set at a value corresponding to the minimum reflection due to a guided wave mode, Pulsed laser excitation caused changes of absorption of the polymer films due to excited state formation or photochromism, which resulted in the increase of reflection because the guided mode condition was changed, According to the Kramers-Kronig. relationship the real part also changes, which results in the shift of the minimum, We can select the wavelength. for all-optical switching in this geometry, We used phthalocyanines and photochromic spiropyran dispersed-in poly(vinyl alcohol) or polystyrene. For the former system, transient absorption due to the excited triplet gave a highly reversible very fast modulation of green light upon repeated excitation by ns laser. For the latter, self-held switching was achieved upon UV or visible laser excitation with response times less than 20 ns, The details of these systems will be presented.
A high speed optical correlator is presented in this paper. It is a joint transform correlator using a BSO photorefractive crystal in the Fourier plane. The performance of the system such a rotation and scale robustne...
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A high speed optical correlator is presented in this paper. It is a joint transform correlator using a BSO photorefractive crystal in the Fourier plane. The performance of the system such a rotation and scale robustness are presented for fingerprint recognition. To demonstrate the interest of such an optical processor, a comparison with numerical systems is presented. Besides, we will also show that the evolution of correlators is quite compatible with the evolution of numerical processors.
Among a variety of optical correlators, the joint transform correlator (STC) has some advantages over others and has been extensively studied. However, in some cases, a direct correlation of the input image with a ref...
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ISBN:
(纸本)081942921X
Among a variety of optical correlators, the joint transform correlator (STC) has some advantages over others and has been extensively studied. However, in some cases, a direct correlation of the input image with a reference image would not be able to find the matched pattern. Recently, morphological hit-or-miss transformation (HMT) has been used to improve the pattern recognition ability of JTC. In this paper we use the concepts of uncertain pixel to improve the distortion-invariant ability of morphological hit-or-miss transformation used in JTC. The novel method is called joint rank-order multi-value hit-or-miss transformation(JRMHMT), which reduces the decision effect of the pixels that is easily disturbed by rotation and scaling distortion. Without losing information of the input images, JRMHMT can realize the precision recognition between two images and has a better distortion-invariant ability in scaling and rotation than the ordinary HMT methods. The comparisons of JRMHMT with the ordinary HMT methods in theoretic analysis and experiments are given in this paper. Based on a single lens JTC and a novel multi-value complementary encoding method, joint rank-order multivalue hit-or-miss transformation correlator (JRMHMTC) is constructed for realized MVHMT in one step. The correlated result image can be thresholded with a high-level threshold so that correct justification can be achieved. The simulation results and experimental demonstrations are both listed.
We describe an optical learning three-layer neural network that uses a back-propagation algorithm for human face recognition. Learning is performed by two-dimensional optical means for handling images without scanning...
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We describe an optical learning three-layer neural network that uses a back-propagation algorithm for human face recognition. Learning is performed by two-dimensional optical means for handling images without scanning and pixeling, because a face recognition problem needs a large-scale network. The two-dimensional input image is treated directly without vectorizing so that a recognition process of an unknown facial image is executed in real-time. We demonstrate training and recognition of three human faces using an experimental system.
Liquid crystal devices (LCDs) have proven to have adequate characteristics for use as the spatial light modulators (SLMs), which are the key devices in the real-time opticalinformationprocessingsystems. However, th...
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ISBN:
(纸本)0819430218
Liquid crystal devices (LCDs) have proven to have adequate characteristics for use as the spatial light modulators (SLMs), which are the key devices in the real-time opticalinformationprocessingsystems. However, the effective update rate of the LCD is rather low due to the transient response of the liquid crystal molecules and it has restricted the processing speed of the optoelectronic processors. In this paper, we use a multi-channel correlation approach to improve the processing speed and get satisfactory experimental results. The speed has been improved from 6 to 12 images per second. By this approach, not only the processing speed can be improved, but also the display area of the LCD can be sufficiently exploited.
optical signal processing, traditionally employed in the spatial domain, has been experiencing a renaissance with femtosecond laser pulse technology. Temporal opticalinformation can now be manipulated via linear and ...
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ISBN:
(纸本)0819429252
optical signal processing, traditionally employed in the spatial domain, has been experiencing a renaissance with femtosecond laser pulse technology. Temporal opticalinformation can now be manipulated via linear and nonlinear processes, and stored and retrieved, by converting optical signals between the spatial and temporal domains. In this manuscript, we review the state-of-the-art in the spatio-temporal optical signal processing techniques for information data coding, data conversion, signal recording, as well as signal characterization. Applications of these techniques for future computing, communication, storage, and signal processingsystems are discussed.
This paper presents an algorithm for segmentation of textured images. The algorithm uses an unsupervised neural network and K-means method to classify: image pixels based ori image local spatial-frequency information....
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ISBN:
(纸本)0819429155
This paper presents an algorithm for segmentation of textured images. The algorithm uses an unsupervised neural network and K-means method to classify: image pixels based ori image local spatial-frequency information. The short-time Fourier transform employs large size window function to extract more neighborhood information. The problems of introducing large size windows in classifying larger transient regions are also investigated. High segmentation resolution is obtained by an novel image extrapolation approach and a re-classification procedure for transient areas.
Intelligent Debris Analysis (IDA) requires significant time and resources due to the large number of images to be processed. To address this problem, we propose a hybrid optoelectronic and computer vision approach. Tw...
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Intelligent Debris Analysis (IDA) requires significant time and resources due to the large number of images to be processed. To address this problem, we propose a hybrid optoelectronic and computer vision approach. Two major steps are involved for IDA: patch-level analysis and particle level analysis. An optoelectronic detection system using two ferroelectric liquid crystal spatial light modulators is designed and constructed to perform path-level analysis, and advanced computer vision techniques are developed to carry out more intelligent particle-level analysis. Since typically only a small portion of the debris filters require more sophisticated particle-level analysis, the proposed approach enables high-speed automated analysis of debris filters due to the inherent parallelism provided by the optoelectronic system.
The progress of near-field optics research and its application in some Chinese universities and institutions is overviewed. The research activities on the instrumentation aspect of scanning near-field optical microsco...
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ISBN:
(纸本)0819429228
The progress of near-field optics research and its application in some Chinese universities and institutions is overviewed. The research activities on the instrumentation aspect of scanning near-field optical microscope, novel sample-tip regulation mechanism, fiber-tip preparations, high resolution imaging and near-field spectroscopy in confined mesoscopic systems, light emission new materials and devices, theoretical development of near-field light-matter interactions, new observations of physical phenomena in the near-field region, optical nanostructuring, are summarized. The current research projects and future prospective of the possible application of SNOM and nearfield fluorescence imaging to biology, such as the in vitro cell nuclear assembly and apoptosis as well as gene recognition and DNA sequencing, and opto-electro devices are discussed.
Large informationsystems that manage terabytes of data must provide rich functionality so that interesting new applications can be addressed. Since a wealth of data, information and knowledge are resident within thes...
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ISBN:
(纸本)0780399145
Large informationsystems that manage terabytes of data must provide rich functionality so that interesting new applications can be addressed. Since a wealth of data, information and knowledge are resident within these vast repositories, a variety cg knowledge discovery techniques have developed. These techniques are very computationally intensive and require the movement of large amounts of data. In the search for new approaches, optics may be able to help since photons have the very attractive properties of high speed, non-interference, and parallelism. opticalsystems can accommodate a large number of parallel, high-bandwidth channels and optical storage devices have very high storage densities. In this research we postulate an electrooptical computer architecture and examine the feasibility of executing a number of alphanumeric and image knowledge discovery algorithms on large multimedia data/knowledge bases with the purpose of increasing performance and functionality.
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