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...
详细信息
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 ...
详细信息
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....
详细信息
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...
详细信息
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...
详细信息
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...
详细信息
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.
The morphological correlation is the optimal method for searching a reference object in an input scene when the figure of merit is based on the mean absolute error (MAE). In practice, it was found that the morphologic...
详细信息
The morphological correlation is the optimal method for searching a reference object in an input scene when the figure of merit is based on the mean absolute error (MAE). In practice, it was found that the morphological correlation exhibits high discrimination ability between similar patterns in recognition systems. It is based on threshold slicing the input image as well as the reference filter into many binary slices, as many as the dynamic range of the input permits. The threshold slices of the input and the reference are then correlated and summed up to obtain the morphological correlation. This operation is characterized by a sharp correlation peak but requires many correlation operations. In this work we propose a novel correlation operation that is characterized by even higher discrimination capabilities than exhibited by the conventional morphological correlation and requires less computational effort. The method is based upon the binary representation of the gray level of each pixel in the image. For example: if the dynamic range allows the definition of 256 levels, i.e., 8 binary bits, then a level of 10 will be represented as 00001010. Unlike the morphological correlation, the proposed modification is based on correlating binary slices that are the bitmap representations. Thus, only 8 slices of the input and the reference are required and only 8 correlations rather than 256 performed. The optical implementation of the new approach is fairly simple and can be utilized via the well-known joint transform correlator architecture. Experimental results demonstrate the advantages of the suggested method.
A concept for processing of hyperspectral data is described which would make hyperspectral data from an operational system routinely available to customers. Customers not be required to be expert in spectral science. ...
详细信息
ISBN:
(纸本)0819428930
A concept for processing of hyperspectral data is described which would make hyperspectral data from an operational system routinely available to customers. Customers not be required to be expert in spectral science. Customers would be offered data in a form readily useable by traditional image processing and Geographical informationsystems, with flexibility for application to their particular interests. This concept consists of an automated processing environment and a rigorous chain of algorithms to generate a variety of products, orderable by end users. The proposed processing chain can support many users, generate products within a few hours, provide repeatable information content, and enable users to focus their expertise on their area of interest and not on spectral analysis. Implementation of this concept would lead to a National standard for spectral data and products.
One of the major barriers to commercial application of optical technology to informationprocessing is the high cost of system development and manufacture. This problem has been solved in other industries through the ...
详细信息
ISBN:
(纸本)0819428353
One of the major barriers to commercial application of optical technology to informationprocessing is the high cost of system development and manufacture. This problem has been solved in other industries through the use of computer aided design (CAD) and integration of system design with manufacturing. The development of better system level metrology is needed to allow more computer-based methods to be used in this process. As a test case, we are designing an optical pattern recognition system to be performed on an input image (at video rates) versus a large reference set, for example 1000 faces, with images of 640 by 480 pixels or larger. We have constructed both an optical pattern recognition system and a holographic memory system which are have instrumented and used to address the metrological needs of these applications. This has allowed us to evaluate the level of system and component level metrology needed for real-time video processing. This report addressed the metrological issues encountered in building and testing these systems.
There is increasing interest in developing ultrafast optical switching and signal-processing capabilities for tomorrow's informationsystems. To find significant application, an ultrafast switching technology shou...
详细信息
ISBN:
(纸本)0819429503
There is increasing interest in developing ultrafast optical switching and signal-processing capabilities for tomorrow's informationsystems. To find significant application, an ultrafast switching technology should utilize components that are small, have low power consumption, and are integrable with other optoelectronic components such as lasers and detectors. In this paper we describe recent progress in the development of semiconductor materials with ultrafast optical response, and in the design of devices using these materials with useful ultrafast switching characteristics. We show that these devices should be able to satisfy all of the criteria for a practical ultrafast switching technology.
暂无评论