The accurate identification of large and medium slag in power plant slag transport system has an important impact on the safety, efficiency, environmental protection and economic benefits of power plant. The timely pr...
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For arbitrary distribution of the additive interference at the communication receiver, we propose a new approach for the signal estimation/detection problems in the FIR channel. By applying the Bayesian law, the MAP e...
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Psychometric methods can be applied straight forwardly to the evaluation of imageprocessingalgorithms to determine statistically significant quality groups. Several methods are available depending upon the circumsta...
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In this paper, we propose a new face hallucination algorithm based on Locally Linear Embedding and Local Correlation method (LC-LLE). The LC-LLE algorithm is an improved locally linear embedding (LLE) algorithm by com...
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According to the new discrete particle swarm optimization (NDPSO) and combining NDPSO with the mutation operator of the genetic algorithm, we proposed a novel hybrid discrete particle swarm optimization detection algo...
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This paper describes experimental and theoretical investigations concerning the transport behaviour of insulation material in multidimensional aqueous flow. Modern technologies of digital imageprocessing are presente...
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ISBN:
(纸本)8476538723
This paper describes experimental and theoretical investigations concerning the transport behaviour of insulation material in multidimensional aqueous flow. Modern technologies of digital imageprocessing are presented. Experimental results were used for the construction of several Takagi-Sugeno fuzzy models which allow the calculation of sink rates for different particle classes. The process of modelling comes along with a nested usage of clustering algorithms.
To cope with the high level of ambiguity faced in domains such as Computer Vision or Natural Language processing, robust prediction methods often search for a diverse set of high-quality candidate solutions or proposa...
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To cope with the high level of ambiguity faced in domains such as Computer Vision or Natural Language processing, robust prediction methods often search for a diverse set of high-quality candidate solutions or proposals. In structured prediction problems, this becomes a daunting task, as the solution space (image labelings, sentence parses, etc.) is exponentially large. We study greedy algorithms for finding a diverse subset of solutions in structured-output spaces by drawing new connections between submodular functions over combinatorial item sets and High-Order Potentials (HOPs) studied for graphical models. Specifically, we show via examples that when marginal gains of submodular diversity functions allow structured representations, this enables efficient (sub-linear time) approximate maximization by reducing the greedy augmentation step to inference in a factor graph with appropriately constructed HOPs. We discuss benefits, trade-offs, and show that our constructions lead to significantly better proposals.
The Civil Air Patrol (CAP) is procuring Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance (ARCHER) systems to increase their search-and-rescue mission capability. These systems are being installed on a f...
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ISBN:
(纸本)0819457728
The Civil Air Patrol (CAP) is procuring Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance (ARCHER) systems to increase their search-and-rescue mission capability. These systems are being installed on a fleet of Gippsland GA-8 aircraft, and will position CAP to gain real-world mission experience with the application of hyperspectral sensor and processing technology to search and rescue. The ARCHER system design, data processing, and operational concept leverage several years of investment in hyperspectral technology research and airborne system demonstration programs by the Naval Research Laboratory (NRL) and Air Force Research Laboratory (AFRL). Each ARCHER system consists of a NovaSol-designed, pushbroom, visible/near-infrared (VNIR) hyperspectral imaging (HSI) sensor, a co-boresighted visible panchromatic high-resolution imaging (HRI) sensor, and a CMIGITS-III GPS/INS unit in an integrated sensor assembly mounted inside the GA-8 cabin. ARCHER incorporates an on-board data processing system developed by Space Computer Corporation (SCC) to perform numerous real-time processing functions including data acquisition and recording, raw data correction, target detection, cueing and chipping, precision image geo-registration, and display and dissemination of image products and target cue information. A ground processing station is provided for post-flight data playback and analysis. This paper describes the requirements and architecture of the ARCHER system, including design, components, software, interfaces, and displays. Key sensor performance characteristics and real-time data processing features are discussed in detail. The use of the system for detecting and geo-locating ground targets in real-time is demonstrated using test data collected in Southern California in the fall of 2004.
Tone reproduction is a key component in image quality and historically tone correction has been performed on a global basis for a given device or image. Several recent investigations have used a variety of algorithms ...
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ISBN:
(纸本)0892082313
Tone reproduction is a key component in image quality and historically tone correction has been performed on a global basis for a given device or image. Several recent investigations have used a variety of algorithms to demonstrate that local color correction provides a significant improvement in image quality relative to a global correction. This paper presents a local color correction operation that is based on non-linear masking. The operation is very fast and does not require any manual adjustments, such as those involved in dodging and burning. The algorithm is roughly equivalent to deriving a specific tone reproduction curve for each pixel in the image. An example image is processed using the proposed masking scheme and the resulting effect is discussed. Finally, the relationship to CIECAM97s is explored and it is proposed that dynamically setting the background parameter results in similar local color corrections.
Inspired by recent progresses of hardware technologies of consumer electronics, joint use of visible and far infrared (FIR) images becomes more common for various applications such as pedestrian detection. In actual s...
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ISBN:
(纸本)9781538679104
Inspired by recent progresses of hardware technologies of consumer electronics, joint use of visible and far infrared (FIR) images becomes more common for various applications such as pedestrian detection. In actual situation, there is misalignment between the visible and FIR images, because the axis of these two cameras are different. Although various existing pedestrian detection algorithms have been proposed, the existing methods are sensitive to the misalignment because these methods assume that the input visible and FIR image pair is strictly aligned. This paper presents a novel misalignment robust pedestrian detection framework for the visible and FIR image pairs. The keys of the proposed framework are the following two points: 1) a set of perturbed FIR images is used to contain the aligned visible and FIR image pair, and 2) our proposed framework employs a merged criterion that combines a learning-based detection approach and a image-processing based similarity measure. Experimental results on the real image dataset show that the proposed framework outperforms existing methods in terms of log-average miss rate.
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