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Conference on Adaptive Optics and applications III

作者： Rao, CH Jiang, WH Zhang, YD Li, M Ling, N Zhang, xJ Li, YY Shen, F Guan, CL Chen, DH Zhou, LC Chen, M Liao, Z Tang, GM Wang, Cx Zhang, A Wu, BL Lu, CM Chinese Acad Sci Inst Opt & Elect Lab Adapt Opt Chengdu 610209 Peoples R China

ISBN: (纸本)0819455946

The 61-element upgraded adaptive optical system for the 1.2m telescope of Yannan Observatory for astronomical observation had been in operation since May 2004. In this paper, the 61-element upgraded adaptive optical system for 1.2m telescope of Yunnan Observatory will he briefly described. The performance on the 61-element upgraded adaptive optical system is analyzed. Furthermore, the observational results for the stars will be presented.

关键词： Imaging systems Telescopes CCD image sensors Wavefront sensors Observatories Sensors Mirrors Stars Digital signal processing Wavefronts

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Performance study of mixed signal CMOS photoreceiver circuits

Performance study of mixed signal CMOS photoreceiver circuit...

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Conference on Optical Information Systems II

作者： Bhadri, P Vagheeswar, S Alla, SK Mal, P Patel, P Li, H Chokhani, A Tang, JJ Stenger, V Beyette, F Univ. of Cincinnati (United States) Intel Corp. (United States) Micron Technology (United States) Univ. of California/Riverside (United States) Integrated Device Technology Inc. (United States) Auxora Inc. (United States)

ISBN: (纸本)0819454958

Recent advances in the integrated electronic circuit industry have spurred efforts to develop technologies that efficiently integrate optics and electronics on a single Complementary Metal Oxide Semiconductor (CMOS) chip. Such CMOS technologies can significantly increase circuit functionality and performance at low fabrication and system cost, thereby accelerating the trend of significant growth in this area. The new functionality could include optical based sensors, image processing, and intelligent optical read heads for faster and more efficient data sorting and searching. The reliability of such monolithic CMOS based functions would be drastically improved relative to their bulk optic counterparts. In the optical telecommunications industry, short haul fiber links would benefit from low cost, silicon CMOS based photoreceivers. One of the primary challenges facing the designers in implementing CMOS based optoelectronic circuits is opto-electrical conversion efficiency. The poor optical responsivity of silicon leads to a bottleneck in the optical to electrical conversion for CMOS based photodetectors. This can be compensated in part through more efficient receiver electronics. Efforts have been made to provide mixed signal circuit design to analyze CMOS based high performance, low noise, integrated receiver circuits. This paper evaluates the performance analysis of five types of photoreceiver configurations that were designed for specific applications.

关键词： CMOS VLSI FPGA silicon photodetector photoreceiver responsivity transimpedence amplifier

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Decreasing data leaking method for power quality monitoring

Decreasing data leaking method for power quality monitoring

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Proceedings of the International Computer Congress 2004 on Wavelet Analysis and its applications, and Active Media Technology

作者： xiao, xian-Yong Yang, Hong-Geng Liu, An-Ding He, Jin-Ding Sichuan University Sch. of Elec. Eng. and Information Chengdu Sichuan 610065 China

ISBN: (纸本)981238961X

Power quality monitors in being adopt the series-processing technique based on sampling analyzing-sampling, skips over a lot of data between two-samplings. The paper puts forward method based on period field, process the data not only a major parameters of state standard, but also short-time and long-time issues, so it can realize real-time monitoring and quantificational analysis. Uses synchronized sampling data and error item to express non-synchronized sampling serial, then advances a iterative formula. Non-synchronized data is close to synchronized data by iterative operation. From the point of view of data of period signal, the method decreases and disappears even data leaking. In addition, the method decrease the amount of sampling points in one period, and sampling data of several sampling interval.

关键词： image quality

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image FUSION METHOD BASED ON SHORT SUPPORT SYMMETRIC NON-SEPARABLE WAVELET

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International Journal of wavelets, Multiresolution and Information processing 2004年第1期2卷 87-98页

作者： LIU BIN JIAxIONG PENG Institute of Image Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China School of Mathematics and Computer Science Hubei University Wuhan 430062 China

In this paper, image fusion method based on a new class of wavelet — non-separable wavelet with compactly supported, linear phase, orthogonal and dilation matrix is presented. We first construct a non-separable wavelet filter bank. Using these filters, the images involved are decomposed into wavelet pyramids. Then the following fusion algorithm was proposed: for low-frequency part, the average value is selected for new pixel value, For the three high-frequency parts of each level, the standard deviation of each image patch over 3×3 window in the high-frequency sub-images is computed as activity measurement. If the standard deviation of the area 3×3 window is bigger than the standard deviation of the corresponding 3×3 window in the other high-frequency sub-image. The center pixel values of the area window that the weighted area energy is bigger are selected. Otherwise the weighted value of the pixel is computed. Then a new fused image is reconstructed. The performance of the method is evaluated using the entropy, cross-entropy, fusion symmetry, root mean square error and peak-to-peak signal-to-noise ratio. The experiment results show that the non-separable wavelet fusion method proposed in this paper is very close to the performance of the Haar separable wavelet fusion method.

关键词： Non-separable wavelet image fusion energy standard deviation

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Estimation of multiple orientations in multidimensional signals

Estimation of multiple orientations in multidimensional sign...

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IEEE International Conference on image processing

作者： C. Mota T. Aach I. Stuke E. Barth Inst. for Neuro- & Bioinformatics Univ. of Lubeck Germany Institute for Signal Processing University of Lubeck Lubeck Germany Institute for Neuro-and Bioinformatics University of Lubeck Lubeck Germany

We present a solution to the general problem of estimating multiple orientations in multidimensional signals. The solution is divided in a linear part that provides the mixed-orientation space (MOS) and a nonlinear part that gives the actual orientation spaces. We show that the angle between two overlaid orientations is an invariant that can be derived from the MOS without solving the nonlinear part and that all other invariants are generated by this angle. Results obtained for synthetic images illustrate that the above invariant is a useful image feature for various applications such as pattern recognition and texture segmentation.

关键词： Motion estimation Pattern recognition x-ray imaging Gray-scale Tensile stress image color analysis Bioinformatics Multidimensional signal processing Biomedical signal processing signal processing

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Aided target recognition from 3-D laser radar data

Aided target recognition from 3-D laser radar data

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Conference on Laser Radar Technology and applications Ix

作者： Klasen, L Andersson, P Larsson, H Chevalier, T Steinvall, O Def Res Agcy Div Sensor Technol SE-58111 Linkoping Sweden

ISBN: (纸本)0819453358

This paper presents our ongoing research activities on target recognition from data generated by 3-D imagine laser radar. In particular;we focus on future full flash imaging 3-D sensors. Several techniques for laser rang imaging are applied for modelling and simulation of data from this kind of 3-D sensor systems. Firstly, data from an experimental gated viewing system is used. Processed data from this system is useful in assisting an operaton the target recognition task. Our recent work on target identification at long ranges, using range data from the gated viewing system, provides techniques to handle turbulence, platform motion and illumination variance 3 from scintillation and speckle noise. Moreover, the range data is expanded into 3-D by using a gating technique that provides reconstruction of the target surface structure. This is shown at distances out to 7 km. Secondly, 3-D target data is achieved at short ranges by using different scanning laser radar systems. This provides high-resolution 3-D data from scanning a target from one single view. However, several scans from multiple viewing angles can also quite easily be merged for more detailed target representations. This is, for example, very useful for recognizing targets in vegetation. Hereby, we achieve simulated 3-D sensor data from both short and lone;ranges (100 meters out to 7 km) at various spatial resolutions. Thirdly, real data from the 3-D flash imagine;system by US Air Force Research Lab (AFRL/SNJM), Wright Patterson Air Force Base, has recently been made available to FOI and also used as input in the development of aided target recognition methods. High-resolution 3-D target models are used in the identification process and compared to the 3-D target data (point cloud) front the various laser radar systems. Finally, we give some examples from our work that clearly show that future 3-D laser radar systems in cooperation with signal- and image analysis techniques have a great potential in the no

关键词： 3-D imaging laser radar gated viewing target recognition image processing 3-D reconstruction rigid objects image enhancement

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Analysis of Kirlian images: feature extraction and segmentation

Analysis of Kirlian images: feature extraction and segmentat...

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International Conference on signal processing Proceedings (ICSP)

作者： x.C. Halkias P. Maragos School of Electrical & Computing Engineering National and Technical University of Athens Athens Greece

images of high geometrical complexity are found in various applications in the fields of image processing and computer vision. In this paper we utilize general processing techniques, mainly based on image morphology. We focus on Kirlian images, which due to their high complexity, comprise of features appearing in many biomedical images. In this paper, a first approach is given on the extraction of specific features dealing with the size and geometrical structure of Kirlian images. The extraction is implemented with the use of tools provided by the broader field of computer vision, thus providing a multi-faceted description of the images. Furthermore, this paper provides and promotes the use of automatically extracted information. Finally, efficient algorithms for obtaining the information on the size and structure of Kirlian images are presented and a number of conclusions are drawn and discussed that provide an insight on the underlying information within a highly complex image such as Kirlian images.

关键词： image analysis Feature extraction image segmentation Computer vision Biomedical imaging Electromagnetic fields Multi-stage noise shaping Noise figure signal to noise ratio Application software

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On the use of a Laser Doppler Vibrometer for quality control of picture tubes

On the use of a Laser Doppler Vibrometer for quality control...

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6th International Conference on Vibration Measurements by Laser Techniques

作者： Vanlanduit, S Verboven, P Cauberghe, B Huysmans, L Guillaume, P Free Univ Brussels Dept Mech Engn Acoust & Vibrat Res Grp B-1050 Brussels Belgium

ISBN: (纸本)0819454362

Currently, the scanning laser Doppler vibrometer (SLDV) has become a standard laboratory tool for high spatial resolution vibration measurements. Though the quality of the measurement result is very high in well-controlled experiments, there are still some limitations on the application in harsh industrial environments. Firstly, the user interaction of available SLDV systems is too high, requiring trained personnel. But more important, laser drop-out can cause outliers in the measurements when non-treated (and often dark) surfaces are measured. These limitations prevent the real breakthrough of the SLDV in industry, notwithstanding the fact that a high potential exists for the use of the SLDV for quality control. In this article, a procedure will be developed to make the SLDV measurement process fully automatic and more robust. Firstly, an automatic laser calibration and component recognition method - that is based on newly developed image processing algorithms - is described. Secondly, a robust singular value decomposition (SVD) is introduced to eliminate laser drop-out from the measurements. The merits of the proposed methodology (measurement automation and robustification) for quality control purposes will be validated on SLDV measurements of a mask of a picture tube.

关键词： scanning laser Doppler vibrometer quality control signal drop-out position calibration object recognition

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Implementation of wavelet based decomposition and reconstruction of an image using TMS320C6701

Implementation of wavelet based decomposition and reconstruc...

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作者： Kulkarni, Sunil Ashok Texas A&M University - Kingsville

学位级别：M.S.

The discrete wavelet transform provides sufficient information both analysis and synthesis of the original image with a significant reduction in the computation time. There are two approaches for working on the above algorithm, one being by using two dimensional filters and the other one by using separable transforms that can be implemented using a one-dimensional filter on the rows first and then on the columns. In this research, we have implemented wavelet decomposition and reconstruction using a one-dimensional transform applied on the rows first and then the columns. For an N x M image size, we filter each row and then column with the analysis pair of low-pass and high-pass filters and down sample successively to obtain four bands after decomposition. Later, during image reconstruction, we up sample and filter each column and then row with a pair of synthesis low pass and high pass filters to obtain the original image size. This algorithm has been implemented in real-time by using the floating-point processor TMS320C6701 chip manufactured by Texas Instruments (TI) that is widely used for image processing applications. The wavelet transform has become the most powerful tool for still image analysis. Yet there are many parameters within a wavelet analysis and synthesis that govern the quality of the image. In this paper, we discuss the wavelet decomposition and reconstruction strategies for a two-dimensional signal and their implications on the reconstruction of the image. A pool of grey scale images has been wavelet transformed using a set of bi-orthogonal filters (wavelet filter bank) that undergoes the decomposition and reconstruction process.

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A DSP-coprocessor architecture for image/video applications [coding/decoding]

A DSP-coprocessor architecture for image/video applications ...

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International Conference on Solid-State and Integrated Circuit Technology

作者： Minxue Liang Jie Chen Institute of Microelectronics Chinese Academy and Sciences Beijing China

ISBN: (纸本)078038511X

With the recent advances in video applications such as video teleconferencing, HDTV, etc., there is an increasing demand for a high-performance processor to implement JPEG, MPEG, and H.264 coding/decoding. A VLSI based DSP-coprocessor architecture is proposed in this article. The chip was implemented using SYNOPSYS tools and can yield a clock rate of about 300 MHz. JPEG decoding is tested on this novel DSP. The chip architecture and the test result are shown in detail in this article.

关键词： Coprocessors Decoding Digital signal processing chips Testing Digital signal processing Computer architecture Hardware Entropy image coding Very large scale integration

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