Safety of aircraft requires resiliency from on-board and off-board threats that could come from natural or man-made disturbances. Maintaining situation awareness requires monitoring and coordination of threats from th...
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ISBN:
(纸本)9781479950027
Safety of aircraft requires resiliency from on-board and off-board threats that could come from natural or man-made disturbances. Maintaining situation awareness requires monitoring and coordination of threats from the air and the ground. Threat detection of people, vehicles, and person-vehicle interactions of possible harm to an aircraft operations is a difficult problem due to the complexity of the coverage area, varying sensor capabilities (e.g., resolutions), and cultural factors of disruption. Methods and techniques can be incorporated to aid analysts (e.g., airport traffic controllers) to track and identify entities using modern large scale visual sensors such as the Wide Area Motion imagery (WAMI) systems. Such systems typically produce an overwhelmingly large amount of information. The lack of computationally efficient algorithms has become a bottleneck for utilizing WAMI data in surveillance. To facilitate the application of such surveillance system development for safe operations, in this paper, three different strategies are implemented based on the on-board multicore technology to speed up video tracking algorithms. A complete tool chain to implement the video tracking, such as registration, detection, and multiple target association, is presented. Experimental results are illustrated. We demonstrate aircraft ground monitoring using the Columbus Large image Format (CLIF) dataset to show the performance improvement by using the proposed high performance computing enabled video tracking algorithm to facilitate safe air travel.
Multiple Pulse Position Modulation (MPPM) has become an important method in optical communication, especially between LEDs and mobile cameras. This paper proposes an MPPM modulation and demodulation method for Visible...
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ISBN:
(纸本)9798350379808;9798350379792
Multiple Pulse Position Modulation (MPPM) has become an important method in optical communication, especially between LEDs and mobile cameras. This paper proposes an MPPM modulation and demodulation method for Visible Light Communication (VLC) systems using LED bulbs and the camera for the transceiver that addresses data transmission performance barriers when increasing the distance between receiver and transmitter, as well as helps minimize comparison error rates compared with other modulation techniques. The PPM and MPPM modulation methods are both highly rated for their power and bandwidth efficiency. Using binary codes and image data processingalgorithms at the receiver, along with optimized mapping, aids in minimizing character errors and enhancing communication performance. Additionally, integrating MPPM into the VLC system solves the problem of brightness control in real-world scenarios. The MPPM-based brightness control system is capable of dynamically adjusting brightness, providing higher communication performance and stability for the VLC system.
Vision is an important way for humans to perceive the world around them. It is an urgent need to improve image quality by using image super resolution. Residual network plays an important role in image super resolutio...
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Unsupervised semantic segmentation aims to discover groupings within images, capturing objects' view-invariance without external supervision. Moreover, this task is inherently ambiguous due to the varying levels o...
Quantum network is an emerging type of network structure that leverages the principles of quantum mechanics to transmit and process information. Compared with classical data reconstruction algorithms, quantum networks...
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ISBN:
(纸本)9798350364613;9798350364606
Quantum network is an emerging type of network structure that leverages the principles of quantum mechanics to transmit and process information. Compared with classical data reconstruction algorithms, quantum networks make image reconstruction more efficient and accurate. They can also process more complex image information using fewer bits and faster parallel computing capabilities. Therefore, this paper will discuss image reconstruction methods based on our quantum network and explore their potential applications in imageprocessing. We will introduce the basic structure of the quantum network, the process of image compression and reconstruction, and the specific parameter training method. Through this study, we can achieve a classical image reconstruction accuracy of 97.57%. Our quantum network design will introduce novel ideas and methods for image reconstruction in the future.
Over the past decade, hyperspectral imaging has been an exciting technology used in many practical fields. In agriculture, hyperspectral imaging is implemented in controlling fruit quality and analyzing specific crops...
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ISBN:
(纸本)9788993215045
Over the past decade, hyperspectral imaging has been an exciting technology used in many practical fields. In agriculture, hyperspectral imaging is implemented in controlling fruit quality and analyzing specific crops in different estimated climate. Bruise damage is one of the crucial factors that influence significantly quality of fruits. This paper focuses on combining hyperspectral imaging with some supervised classification including k-nearest neighbor (k-NN) and support vector machine (SVM) algorithm to detect bruise areas on pears. Data acquisition of hyperspectral NIR reflectance images of pears was performed for choosing the feature of classification algorithms. Experiment results show the effectiveness of both methods in separating bruise from normal areas in shortest time. These results are good enough to detect the early bruise damage which is not easily recognized by conventional classification methods using human eye.
Media applications, such as imageprocessing, signal processing, video, and graphics, require high computation rates and data bandwidths. The stream programming model is a natural and powerful way to describe these ap...
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ISBN:
(纸本)0769517005;0769517013
Media applications, such as imageprocessing, signal processing, video, and graphics, require high computation rates and data bandwidths. The stream programming model is a natural and powerful way to describe these applications. Expressing media applications in this model allows hardware and software systems to take advantage of their concurrency and locality in order to meet their high computational demands. The Imagine stream programming system, a set of software tools and algorithms, is used to program media applications in the stream programming model. We achieve real-time performance on a variety of media processing applications with high computation rates (4-15 billion achieved operations per second) and high efficiency (84-95% occupancy on the arithmetic clusters).
The purpose of this study is to use modern image segmentation techniques to quantitate cyst area and number within a complete CT examination of the lungs. Lymphangioleiomyomatosis (LAM) was chosen because this disease...
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ISBN:
(纸本)081941462X
The purpose of this study is to use modern image segmentation techniques to quantitate cyst area and number within a complete CT examination of the lungs. Lymphangioleiomyomatosis (LAM) was chosen because this disease produces many well defined thin- walled cysts of varying sizes throughout the lungs that provide a good test for 2D image segmentation techniques, which are used to separate LAM cysts from the normal lung tissue. Quantitative measures of the lung, such as cyst area versus frequency, are then automatically extracted. Three women with LAM were examined using CT slices obtained at 20 mm intervals, with 1 to 1.5 mm collimation, and a pixel size of 0.4 - 0.5 mm. Our segmentation algorithm operates in several stages. First, masks for each lung are automatically generated, thus allowing only lung pixels to be considered for the cyst segmentation. Next, we threshold the data under the masks at a level of -900 Hounsfield units. The threshold segments LAM cysts from normal lung tissue and other structures, such as pulmonary veins and arteries. In order to determine the size of individual cysts, we grow all regions having brightness values lower than the threshold within the masked regions. These regions, which correspond to cysts, are then sorted by size, and a cyst histogram for each patient is computed.
Based on the Digital Signal Processor (ADSP21060), a principal and subordinate structure parallel real time infrared target tracking system is established. The system is composed of image acquisition sub system, image...
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ISBN:
(纸本)0819442836
Based on the Digital Signal Processor (ADSP21060), a principal and subordinate structure parallel real time infrared target tracking system is established. The system is composed of image acquisition sub system, imageprocessing subsystem, manual control subsystem and target indicates subsystem. A new fast two-dimensional (2-D) entropy algorithm and motion target detection algorithm is implemented in second DSP to detect infrared target. The mass centered tracking algorithm and correlative-tracking algorithm are used to tracking targets. A Kalman filter algorithm is used to predicting approach. And using ADSP21060 to achieve the Kalman filtering algorithm and satisfies the real-time need. In this tracking system the tracking state of infrared target is considered, detecting algorithm or tracking algorithm can be selected automatic. If tracking system is working in detecting mode and target is detected, then system will turn to tracking mode If system is working in tracking mode and target is lost, then system will turn into detecting mode. As the ADSP-21060 offers powerful features to multi-processing DSP systems, it is easy to expand to multi subordinate DSP system. It is possible to use more complexes detecting or tracing algorithms in real time tracing system.
The proceedings contains 64 papers. Some of the topics discussed are: control systems;vision;measurements;speed control;diesel engines;systems stability;rocket motors;induction motors;neural networks;fuzzy sets;learni...
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The proceedings contains 64 papers. Some of the topics discussed are: control systems;vision;measurements;speed control;diesel engines;systems stability;rocket motors;induction motors;neural networks;fuzzy sets;learning systems;artificial intelligence;Petri nets;signal processing;quantum mechanical systems;parameter estimation;identification;recursive algorithms;robotics;intelligent manipulators;pattern recognition;example-based feature extraction;voice recognition;precision measurement;image distortion;atomic microscopes;bio-systems;electrocardiography;electromyography;cardiology;cardiovascular system;echocardiogram;industrial applications;multistage diagnosis;and stock prices forecasting.
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