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检索条件"任意字段=Image Processing: Algorithms and Systems VI"

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Advanced on FPA and near FPA image processing for infrared sensors

Advanced on FPA and near FPA image processing for infrared s...

引用

Conference on Infrared Technology and Applications XXXI

作者： Caulfield, JT Ovod, vi Coussa, RA Baxter, CR Massie, MA Cyan Syst Santa Barbara CA 93105 USA

ISBN: (纸本)081945768X

Cyan systems has developed algorithms and architectures capable of performing temporal and spatial filtering near or on the FPA. Cyan is performing research into more advanced techniques to allow functional target detection near/on the FPA. The goals of this work is to perform image processing near or on the FPA to improve the size and power requirements for existing IR sensor systems which require larger board sets and hardware enclosures. We use representations of the biological vision system as models for the algorithm development. We report measured data on the near/on FPA target detection performance.

关键词： Staring arrays Sensors Target detection image processing Infrared sensors Detection and tracking algorithms Algorithm development image filtering Data processing Spatial filters

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Advanced image processing package for FPGA-based re-programmable miniature electronics

Advanced image processing package for FPGA-based re-programm...

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Conference on Infrared Technology and Applications XXXI

作者： Ovod, vi Baxter, CR Massie, MA McCarley, PL Nova Sensors Solvang CA 93463 USA

ISBN: (纸本)081945768X

Nova Sensors produces miniature electronics for a variety of real-time digital video camera systems, including foveal sensors based on Nova's Variable Acuity Superpixel imager (VASI (TM)) technology. An advanced image-processing package has been designed at Nova Sensors to re-configure the FPGA-based co-processor board for numerous applications including motion detection, optical, background velocimetry and target tracking. Currently, the processing package consists of 14 processing operations that cover a broad range of point- and area-applied algorithms. Flexible FPGA designs of these operations and re-programmability of the processing board allows for easy updates of the VASI (TM) sensors, and for low-cost customization of VASI (TM) sensors taking into account specific customer requirements. This paper describes the image processing algorithms implemented and verified in Xilinx FPGAs and provides the major technical performances with figures illustrating practical applications of the processing package.

关键词： foveal sensors image processor FPGA FPA variable acuity superpixels programmable visible infrared UAV

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SMART CMOS image SENSOR FOR 3DMEASUREMENT

SMART CMOS IMAGE SENSOR FOR 3DMEASUREMENT

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作者： Vanam Upendranath University of Trento

学位级别：博士

3D measurements are concerned with extracting visual information from the geometry of visible surfaces and interpreting the 3D coordinate data thus obtained, to detect or track the position or reconstruct the profile of an object, often in real time. These systems necessitate image sensors with high accuracy of po- sition estimation and high frame rate of data processing for handling large volumes of data. A standard imager cannot address the requirements of fast image acquisition and processing, which are the two fig- ures of merit for 3D measurements. Hence, dedicated VLSI imager architectures are indispensable for designing these high performance sensors. CMOS imaging technology provides potential to integrate image processing algorithms on the focal plane of the device, resulting in smart image sensors, capable of achieving better processing features in handling massive image data. The objective of this thesis is to present a new architecture of smart CMOS image sensor for real time 3D measurement using the sheet-beam projection methods based on active triangulation. Proposing the vi- sion sensor as an ensemble of linear sensor arrays, all working in parallel and processing the entire im- age in slices, the complexity of the image-processing task shifts from O (N2) to O (N). Inherent also in the design is the high level of parallelism to achieve massive parallel processing at high frame rate, required in 3D computation problems. This work demonstrates a prototype of the smart linear sensor incorporat- ing full testability features to test and debug both at device and system levels. The salient features of this work are the asynchronous position to pulse stream conversion, multiple im- ages binarization, high parallelism and modular architecture resulting in frame rate and sub-pixel reso- lution suitable for real time 3D measurements.

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From stochastic completion fields to tensor voting

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1st International Workshop on Deep Structure, Singularities, and Computer vision, DSSCV 2005

作者： Van Almsick, Markus Duits, Remco Franken, Erik Ter Haar Romeny, Bart Technische Universiteit Eindhoven 5600MB Eindhoven Netherlands

ISBN: (纸本)3540298363

Several image processing algorithms imitate the lateral interaction of neurons in the visual striate cortex vi to account for the correlations along contours and lines. Here we focus on two methodologies: tensor voting by Guy and Medioni, and stochastic completion fields by Mumford, Williams and Jacobs. The objective of this article is to compare these two methods and to place them into a common mathematical framework. As a consequence we obtain a sound stochastic foundation of tensor voting, a new tensor voting field, and an analytic approximation of the stochastic completion kernel. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Stochastic control systems

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Multi-sensor cargo bay fire detection system

Multi-sensor cargo bay fire detection system

引用

Conference on Enabling Photonic Technologies for Aerospace Applications vi

作者： Snyder, BL Anderson, KJ Renken, CH Socha, DM Miller, MS Goodrich Corp Adv Sensors Tech Ctr Burnsville MN 55306 USA

ISBN: (纸本)0819453587

Current aircraft cargo bay fire detection systems are generally based on smoke detection. Smoke detectors in modern aircraft are predominately photoelectric particle detectors that reliably detect smoke, but also detect dust, fog, and most other small particles. False alarms caused by these contaminants can be very costly to the airlines because they can cause flights to be diverted needlessly. To minimize these expenses, a new approach to cargo bay fire detection is needed. This paper describes a novel fire detection system developed by the Goodrich Advanced Sensors Technical Center. The system uses multiple sensors of different technologies to provide a way of discriminating between real fire events and false triggers. The system uses infrared imaging along with multiple, distributed chemical sensors and smoke detectors, all feeding data to a digital signal processor. The processor merges data from the chemical sensors, smoke detectors, and processed images to determine if a fire (or potential fire) is present. Decision algorithms look at all this data in real-time and make the final decision about whether a fire is present. In the paper, we present a short background of the problem we are solving, the reasons for choosing the technologies used, the design of the system, the signal processing methods and results from extensive system testing. We will also show that multiple sensing technologies are crucial to reducing false alarms in such systems.

关键词： infrared imaging image processing chemical sensing fire detection smoke detectors

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Code concatenation based multiple classifier systems for automatic target recognition

Code concatenation based multiple classifier systems for aut...

引用

6th Conference on Data Mining and Knowledge Discovery

作者： Asdornwised, W Jitapunkul, S Chulalongkorn Univ Digital Signal Proc Res Lab Dept Elect Engn Bangkok 10330 Thailand

ISBN: (纸本)0819453560

In this paper, we propose a new multiple classifier system (MCS) based on two concatenated stages of multiple description coding models (MDC) and Support Vector Machine (SVM). This paper draws on concepts coming from a variety of disciplines that includes classical concatenated coding of error correcting codes, multiple description coding of wavelet based image compression, error correcting output codes (ECOC) of multiple classifier systems, and antithetic-common varaites of Monte Carlo Methods. In our previous work, we proposed and extended several methods in MDC to MCS with inspirations from two frameworks. First, we found that one of our methods is equivalent to one of the variance reduction techniques, called antithetic-common variates, in the Monte Carlo Methods (MCM). Second, another equivalent relation between one of our methods and transmitting data over heterogeneous network, especially wireless networks, are established. In this paper, we also include several support ideas. For example, preliminary surveys on the biological plausible of the MDC concepts are also included. One of the benefits of our approach is that it allows us to formulate a generalized class of signal processing based weak classification algorithms. This will be very applicable for MDC-SVM in high dimensional classification problems, such as image/target recognition. Performance results for automatic target recognition are presented for synthetic aperture radar (SAR) images from the MSTAR public release data set. From the experimental results, our proposed method outperform state-of-the-art multiple classifier systems, such as SVM-ECOC etc.

关键词： Signal processing

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Fast image processing and flexible path generation system for RoboCup small size league

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6th Robot World Cup Soccer and Rescue Competitions and Conference (RoboCup 2002)

作者： Hibino, S Kodama, Y Nagasaka, Y Takahashi, T Murakami, K Naruse, T Aichi Prefectural Univ Nagakute Aichi 4801198 Japan Chubu Univ Kasugai Aichi 4878501 Japan

ISBN: (纸本)3540406662

Two key features of successful multi-robot systems in RoboCup are robustness of a vision system and optimization of feedback control in order to reach the goal point and generate the action under the team strategy. This paper proposes two new methods. One is a fast image processing method, which is coped with the spatial variance of color parameters in the field, to extract the positions of robots and ball in 130 sec. The separation problem in the interlaced format image is solved. Another one is a path generation method in which the robot approaches the goal by changing its direction convergently. With these two algorithms, the real time processing system is realized by generating a stable path under a low quality input image.

关键词： image processing

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Proceedings of SPIE: algorithms and systems for Optical Information processing vi

Proceedings of SPIE: Algorithms and Systems for Optical Info...

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algorithms and systems for Optical Information processing vi

This Volume 4789 of the conference proceedings contains 31 papers. Topics discussed include three dimensional imaging, image processing, optics and imaging systems and image recognition.

关键词： Optical data processing

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Performance of multi-dimensional algorithms for target detection in LADAR imagery

Performance of multi-dimensional algorithms for target detec...

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Conference on algorithms and systems for Optical Information processing vi

作者： Mahalanobis, A Van Nevel, AJ Lockheed Martin Missiles & Fire Control Orlando FL 32819 USA

ISBN: (纸本)0819445568

In this paper, we describe a new method of processing LADAR imagery for detecting and recognizing targets. LADAR is a unique sensor in that it allows data to be manipulated in 3D coordinates and "range-corrected" so that all objects are represented at their true size. For correlation-based detection methods, this leads to a significant reduction in the number of filters that need to be used. The detected regions of interest can be processed in 3D space using distortion tolerant volume correlation filters. We also discuss the performance of the algorithms for target detection on a set of LADAR images.

关键词： 3D modeling 3D acquisition Target detection LIDAR image filtering 3D image processing Detection and tracking algorithms image processing Filtering (signal processing) Sensors

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Concealogram: an image within an image

Concealogram: an image within an image

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Conference on algorithms and systems for Optical Information processing vi

作者： Rosen, J Javidi, B Goldenfeld, H Moshkovits, S Ben Gurion Univ Negev Dept Elect & Comp Engn IL-84105 Beer Sheva Israel

ISBN: (纸本)0819445568

Several methods of concealing an image in a different hardcopy image are presented. The hidden image is secured since only a spatial digital, or optical, correlator equipped with an undecipherable key function can reveal the concealed image from the visible picture. The techniques and their robustness to noise and distortions are demonstrated.

关键词： halftone image reproduction Fourier optics binary optics optical correlators spatial filtering

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