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

共 86 条记录，以下是21-30 订阅

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Elements of target detection for ground sensor systems

Elements of target detection for ground sensor systems

引用

Conference on Unattended Ground Sensor Technologies and Applications vii

作者： Martin, L Lockheed Martin Missiles & Fire Control Orlando FL 32819 USA

ISBN: (纸本)0819457817

The primary application considered in this paper is target detection in infra-red (IR) imagery for ground surveillance application. The problem is characterized by the need to rapidly search large areas, and ascertain the presence and location of threat objects. The challenge is in not only processing large images rapidly, but also reducing false alarm rates while achieving high levels of correct target detections. Performance is a function of many factors including the clutter type and density, the quality of the image and target signature, and the adequacy of the target data base. Although many types of target detection algorithms exist, we use a method based on quadratic correlation filters. The results of independent tests and evaluations by Night Vision Laboratory are also presented.

关键词： Target detection Sensors image processing Linear filtering image filtering Target recognition Surveillance Detection and tracking algorithms Infrared imaging Digital filtering

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Parametric assessment of the impact of target scene projection on image processing results

Parametric assessment of the impact of target scene projecti...

引用

Conference on Technologies for Synthetic Environments - Hardware-in-the-Loop Testing vii

作者： Sieglinger, B Flynn, DS Thompson, RA MacAulay Brown Inc Shalimar FL 32579 USA

ISBN: (纸本)0819444677

This paper describes a simulation and analysis of a sensor viewing a "pixelized" scene projector like the KHILS' Wideband Infrared Scene Projector (WISP). The main objective of this effort is to understand and quantify the effects of different scene projector configurations on the performance of several sensor signal processing algorithms. We present simulation results that quantify the performance of two signal processing algorithms used to estimate the sub-pixel position and irradiance of a point source. The algorithms are characterized for different signal-to-noise ratios, different projector configurations, and two different methods for preparing images that drive the projector. We describe the simulation in detail, numerous results obtained by processing simulated images, algorithms and projector properties, and present conclusions.

关键词： Sensors Projection systems Point spread functions Signal to noise ratio Detection and tracking algorithms Computer simulations image processing image sensors Error analysis Sensor performance

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Digital image processing in high resolution infrared camera with use of programmable logic device

Digital image processing in high resolution infrared camera ...

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Conference on Optics and Photon for Counterterrorism and Crime Fighting VI/Optical Materials in Defence systems Technology vii

作者： Sosnowski, Tomasz Bieszczad, Grzegorz Kastek, Mariusz Madura, Henryk Mil Univ Technol Inst Optoelect Warsaw Poland

ISBN: (纸本)9780819483560

In article a digital system for high resolution infrared camera control and image processing is described. The camera is built with use of bolometric focal plane array of size 640 by 480 detectors. Single detector in array has size of 25 mu m and can detect incident radiation from the spectral range of 8/12 mu m thanks to the special filter installed in specially designed entrance window. The most important tasks of infrared image processing system are array readout and correction of detectors offset and responsivity variations. The next tasks of the system are conversion of analog voltage signals from microbolometers in array to digital form and then composition of a thermal image. Microbolometer array needs to be controlled via several signals. The signal generator for readout circuit is capable of changing various timing parameters like frame rate or integration time of the detector array. The changes in these parameters can be done via special set of memory mapped registers. The infrared data received from detector array is transferred via data bus to modules performing image processing, for example techniques for image enhancement. image processing algorithms necessary for infrared image generation are nonuniformity correction, bad pixel replacement and radiometric calibration. Optionally an additional image processing techniques can be performed like edge enhancement, dynamic range compression or object identification. The elaborated architecture of the system allowed easy change of parameters of the system and to adopt many new algorithms without significant hardware changes. Scientific work funded from science fund for years 2009-2011 as a development project.

关键词： image processing FPGA Infrared

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Improved VCA in Hyperspectral image processing

Improved VCA in Hyperspectral Image Processing

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Conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) systems and Applications vii

作者： Zhu, Xiaoming Chen, Chao Sun, Bo Zhang, Xiyu He, Jun Beijing Normal Univ Coll Informat Sci & Technol Beijing 100875 Peoples R China China Naval Armament Acad Beijing 102249 Peoples R China

ISBN: (纸本)9780819481320

In recent decades, hyperspectral images (HSI) have been widely exploited in many fields for rich information containing in them. Many algorithms have been brought out for endmember extracting, among which, VCA algorithm performs a better precision and lower complexity. However, endmembers of the same HIS extracted with traditional VCA algorithm are not always the same in different runs. After deeply analyzing, the authors have proposed an improved VCA algorithm to resolve that shortcoming. For verification, experiment and comparative study have been performed. On conclusion, the improved VCA algorithm has manifested higher efficiency and accuracy than the traditional one.

关键词： VCA algorithm Hyperspectral image Endmember extraction image processing Improved VCA Remote sensing image HSI

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Design and tuning of FPGA implementations of neural networks

Design and tuning of FPGA implementations of neural networks

引用

Conference on Automatic Target Recognition vii

作者： Clare, PJC Gulley, JW Hickman, D Smith, MI Central Research Labs. Ltd. (United Kingdom) Pilkington Optronics (United Kingdom)

ISBN: (纸本)0819424846

Artificial Neural Network (ANN) algorithms are applicable in a variety of roles for image processing in Infrared Search and Track (IRST) systems. Achieving a high throughput is a key objective in developing ANNs for processing large numbers of pixels at high frame rates. Previous work has investigated the use of a neural core supported by configurable logic to achieve a versatile technology applicable to a variety of systems. The implementation of Multi-Layer Perceptron (MLP) ANNs, using Field Programmable Gate Array (FPGA) technology to ensure upgradability and reconfigurability, is the focus of this research. Approximations to the MLP algorithms are needed to ensure that a high throughput can be achieved with a sufficiently low gate count.

关键词： infrared search and track neural networks multi-layer perceptrons throughput gate count pixel processing field programmable gate array target detection target classification

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Moving Target Detection for a Multi-Band Pushbroom Sensor

Moving Target Detection for a Multi-Band Pushbroom Sensor

引用

Conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) systems and Applications vii

作者： Cheng, Beato T. Goodrich ISR Syst Chelmsford MA 01824 USA

ISBN: (纸本)9780819481320

A pushbroom MSI sensor collects image data from the ground, parallel to the flight path, at a specific point angle. images taken at two instances of time while the scanner moves with the platform usually have a spatial offset, and need to be registered before they can be compared for any changes between the two images. Moving target detection is a special case of change detection that requires the time between frames be small enough that a moving vehicle remains in close proximity on the two frames. We propose an algorithm for the detection of moving targets in a multi-band line scanning pushbroom sensor. Ideally, change detection works best when images have the same spectral bandwidth and are perfectly registered to one another, since differencing the two images automatically removes most of the common background signal. However, this is not always the case. For example, the sensor considered here has different bandwidths for its component bands, and since it is a line-scanner it is much more challenging regarding image registration than a framed-based scanner. In this study, we will use simulated data of the same bandwidth to demonstrate the fundamental algorithm of detection and velocity calculation. The velocity calculation is that of distance divided by time;but, depending on the focal plane layout and other operating considerations and conversion between image space to physical units, this calculation is not as simple as it seems. We will also discuss our effort in applying our algorithm to real line-scan imagery, of different bandwidths in the two channels. We will show the extra image processing efforts needed to make it work, and show some of the test results.

关键词： image segmentation Sensors Detection and tracking algorithms Target detection image processing image quality Raster graphics image registration image processing algorithms and systems image sensors

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image segmentation using the morphological pyramid

Image segmentation using the morphological pyramid

引用

Applications of Artificial Intelligence vii 1989

作者： Lee, Changkyu Haralick, Robert M. Phillips, Tsaiyun Intelligent Systems Laboratory Department of Electrical Engineering University of Washington United States Department of Computer Science Seattle University United States

Mathematical morphology, "algebra of shape", is used in many image processing applications including machine vision recognition, visually guided robot vision systems, biomedical image processing, and low-level vision problems. The fact that mathematical morphology deals with shape characteristics of an image makes it a tool for object recognition, defect detection, and feature extraction. The analogy between the morphological operations for shape and the convolution operations for signals suggests the dominance of mathematical morphology in the image processing applications related to shape, especially in machine vision.

关键词： image segmentation Signal to noise ratio image processing image processing algorithms and systems Evolutionary algorithms Artificial intelligence Mathematical morphology image filtering Linear filtering Signal processing

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Scalable object-based compression algorithm for segmented space telescope images

Scalable object-based compression algorithm for segmented sp...

引用

Conference on Multimedia systems and Applications vii

作者： Boussalis, H Liu, C Rad, K Dong, JY Calif State Univ Los Angeles Dept Elect & Comp Engn Los Angeles CA 90032 USA

ISBN: (纸本)0819455539

The noise-alike nature of astronomical images imposes a great challenge on compression. Due to the lack of correlation among adjacent pixels, it is very difficult to achieve good compression result using standard algorithms. To address the above challenge, a novel object-based compression method is proposed in this paper. Based on object analysis, the astronomical entities presented in the image are classified into two categories: clear and faint objects. For the former, a zerotree based wavelet compression algorithm is employed to achieve scalable coding;for the latter, a predictive coding method is used to preserve their location and intensity. The objective is to enhance the detection of faint object in astronomical images while providing a good overall visual effect. Experiment results demonstrate the superior performance of our proposed algorithm.

关键词： Astronomy image compression image segmentation Visualization Wavelets Visual compression James Webb Space Telescope Photometry image processing algorithms and systems Scalable video coding

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Adaptive image restoration using a proximity measure to boundary

Adaptive image restoration using a proximity measure to boun...

引用

Conference on image processing - algorithms and systems vii

作者： Lee, Sang-Hoon Kyungwon Univ Dept Ind Engn Songnam 461701 South Korea

ISBN: (纸本)9780819474957

In this study, an iterative maximum a posteriori (MAP) approach using a Bayesian model of Markov random field (MRF) was proposed for image restoration to reduce or remove the noise resulted from imperfect sensing. image process is assumed to combine the random fields associated with the observed intensity process and the image texture process respectively. The objective measure for determining the optimal restoration of this "double compound stochastic" image process is based on Bayes' theorem, and the MAP estimation employs the Point-Jacobian iteration to obtain the optimal solution. In the proposed algorithm, MRF is used to quantify the spatial interaction probabilistically, that is, to provide a type of prior information on the image texture and the neighbor window of any size is defined for contextual information on a local region. However, the window of a certain size would result in using wrong information for the estimation from adjacent regions with different characteristics at the pixels close to or on the boundary. To overcome this problem, the new method is designed to use less information from more distant neighbors as the pixel is closer to the boundary. It can reduce the possibility to involve the pixel values of adjacent region with different characteristics. The proximity to the boundary is estimated using a non-uniformity measurement based on edge value, standard deviation, entropy, and the 4th moment of intensity distribution. This study evaluated the new scheme using simulation data, and the experimental results show a considerable improvement in image restoration.

关键词： image restoration noise reduction Point-Jacobian iteration adaptive estimation non-uniformity

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Semantic Home Video Categorization

Semantic Home Video Categorization

引用

Conference on image processing - algorithms and systems vii

作者： Min, Hyun-Seok Lee, Young Bok De Neve, Wesley Ro, Yong Man Informat & Commun Univ Image & Video Syst Lab Taejon 305732 South Korea

ISBN: (纸本)9780819474957

Nowadays, a strong need exists for the efficient organization of an increasing amount of home video content. To create an efficient system for the management of home video content, it is required to categorize home video content in a semantic way. So far, a significant amount of research has already been dedicated to semantic video categorization. However, conventional categorization approaches often rely on unnecessary concepts and complicated algorithms that are not suited in the context of home video categorization. To overcome the aforementioned problem, this paper proposes a novel home video categorization method that adopts semantic home photo categorization. To use home photo categorization in the context of home video, we segment video content into shots and extract key frames that represent each shot. To extract the semantics from key frames, we divide each key frame into ten local regions and extract low-level features. Based on the low level features extracted for each local region, we can predict the semantics of a particular key frame. To verify the usefulness of the proposed home video categorization method, experiments were performed with home video sequences, labeled by concepts part of the MPEG-7 VCE2 dataset. To verify the usefulness of the proposed home video categorization method, experiments were performed with 70 home video sequences. For the home video sequences used, the proposed system produced a recall of 77% and an accuracy of 78%.

关键词： Home video categorization image categorization support vector machines (SVM)

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