Dtic Ada039008: the Utilization of Procedure Models in Digital image Synthesis by Defense Technical Information Center; Defense Technical Information Center; published by
Dtic Ada039008: the Utilization of Procedure Models in Digital image Synthesis by Defense Technical Information Center; Defense Technical Information Center; published by
For investigations of rapidly moving structures in opaque technical devices ultrafast electron beam X-ray computed tomography (CT) scanners are available at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). Currently, ...
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ISBN:
(纸本)9781509038725
For investigations of rapidly moving structures in opaque technical devices ultrafast electron beam X-ray computed tomography (CT) scanners are available at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). Currently, measurement data must be initially downloaded after each CT scan from the scanner to a data processing machine. Afterwards, cross-sectional images are reconstructed. This limits the application fields of the scanners. For online observations and even automated process control of scanned objects a new modular data processing tool is presented consisting of user-definable pipeline stages that work independently together in a so called data processing pipeline that can keep up with the CT scanner's frame rate of up to 8 kHz. The data processing stages are arbitrarily programmable and combinable and are connected by a fast custom memory pool to optimize data transfer processes. As a result, this processing structure is not limited to CT application only. In order to achieve highest processing performances for the electron beam X-ray CT scanners all relevant data processing steps are individually implemented in separate stages using graphic processing units (GPUs) and NVIDIA's CUDA programming language. Data processing performance tests on two different high-end GPUs (Tesla K20c, GeForce GTX 1080) offer a slice image reconstruction performance that is well-suited for online application.
Since the last decade, number of applications of Artificial Intelligence in daily livelihood has drastically increased. This is primarily because of the inclusion of high-tech gadgets in our day-to-day lives. These ga...
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ISBN:
(纸本)9781509010660
Since the last decade, number of applications of Artificial Intelligence in daily livelihood has drastically increased. This is primarily because of the inclusion of high-tech gadgets in our day-to-day lives. These gadgets provide high computational capabilities and geographical reach. These two features could be exerted to provide medical services to the society. This paper is based on a project which emphasizes on creating a software infrastructure which would provide healthcare services like diagnosis of diseases, advising medical tests to patients, providing medical prescription to patients by making use of personalized medicine problem solving algorithms etc., and providing medical assistance to doctors. This project, Medic, makes use of natural language processing, fuzzy logic, deep learning and a constantly evolving knowledge base to correctly diagnose diseases. It also provides various services to doctors which would help them while making decisions regarding any patient's medical treatment.
The Cropland Capture game, which is a recently developed Geo-Wiki game, aims to map cultivated lands using around 17,000 satellite images from the Earth's surface. Using a perceptual hash and blur detection algori...
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ISBN:
(纸本)9783319388847;9783319388830
The Cropland Capture game, which is a recently developed Geo-Wiki game, aims to map cultivated lands using around 17,000 satellite images from the Earth's surface. Using a perceptual hash and blur detection algorithm, we improve the quality of the Cropland Capture game's dataset. We then benchmark state-of-the-art algorithms for an aggregation of votes using results of well-known machine learning algorithms as a baseline. We demonstrate that volunteer-image assignment is highly irregular and only good annotators are presented (there are no spammers and malicious voters). We conjecture that the last fact is the main reason for surprisingly similar accuracy levels across all examined algorithms. Finally, we increase the estimated consistency with expert opinion from 77 to 91% and up to 96% if we restrict our attention to images with more than 9 votes.
Quantifying the accuracy of segmentation and manual delineation of organs, tissue types and tumors in medical images is a necessary measurement that suffers from multiple problems. One major shortcoming of all accurac...
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ISBN:
(纸本)9781510600195
Quantifying the accuracy of segmentation and manual delineation of organs, tissue types and tumors in medical images is a necessary measurement that suffers from multiple problems. One major shortcoming of all accuracy measures is that they neglect the anatomical significance or relevance of different zones within a given segment. Hence, existing accuracy metrics measure the overlap of a given segment with a ground-truth without any anatomical discrimination inside the segment. For instance, if we understand the rectal wall or urethral sphincter as anatomical zones, then current accuracy measures ignore their significance when they are applied to assess the quality of the prostate gland segments. In this paper, we propose an anatomy-aware measurement scheme for segmentation accuracy of medical images. The idea is to create a "master gold" based on a consensus shape containing not just the outline of the segment but also the outlines of the internal zones if existent or relevant. To apply this new approach to accuracy measurement, we introduce the anatomy-aware extensions of both Dice coefficient and Jaccard index and investigate their effect using 500 synthetic prostate ultrasound images with 20 different segments for each image. We show that through anatomy-sensitive calculation of segmentation accuracy, namely by considering relevant anatomical zones, not only the measurement of individual users can change but also the ranking of users' segmentation skills may require reordering.
Radiometric calibration of satellite imagery requires coupling of atmospheric and topographic parameters, which constitutes serious computational problems in particular in complex geographical terrain. Successful appl...
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ISBN:
(纸本)9781509024216
Radiometric calibration of satellite imagery requires coupling of atmospheric and topographic parameters, which constitutes serious computational problems in particular in complex geographical terrain. Successful application of topographic normalization algorithms for calibration purposes requires integration of several types of high-resolution geographic datasets and their processing in a common context. This paper presents the application of an operational system for cloud-based radiometric and topographic calibration of satellite imagery. The system uses a Web-based Geographic Information System integrated within a High Performance Computing environment for remote processing of uploaded satellite data. The article also presents sample results produced by the system and discusses the benefits of using a cloud-based environment.
A low-complexity orthogonal multiplierless approximation for the 16-point discrete cosine transform (DCT) was introduced. The proposed method was designed to possess a very low computational cost. A fast algorithm bas...
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A low-complexity orthogonal multiplierless approximation for the 16-point discrete cosine transform (DCT) was introduced. The proposed method was designed to possess a very low computational cost. A fast algorithm based on matrix factorization was proposed requiring only 60 additions. The proposed architecture outperforms classical and state-of-the-art algorithms when assessed as a tool for image and video compression. Digital VLSI hardware implementations were also proposed being physically realized in field programmable gate array technology and implemented in 45 nm up to synthesis and place-route levels. Additionally, the proposed method was embedded into a high efficiency video coding (HEVC) reference software for actual proof-of-concept. Obtained results show negligible video degradation when compared to Chen DCT algorithm in HEVC.
The effects of the aft rotor on the inter-rotor flow field of an open rotor propulsion rig were examined. A Particle image Velocimetry (PIV) dataset that was acquired phase locked to the front rotor position has been ...
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ISBN:
(纸本)9780791849682
The effects of the aft rotor on the inter-rotor flow field of an open rotor propulsion rig were examined. A Particle image Velocimetry (PIV) dataset that was acquired phase locked to the front rotor position has been phase averaged based on the relative phase angle between the forward and aft rotors. The aft rotor phase was determined by feature tracking in raw PIV images through an imageprocessing algorithm. The effects of the aft rotor potential field on the inter-rotor flow were analyzed and shown to be in reasonably good agreement with Computational Fluid Dynamics (CFD) simulations. The aft rotor position was shown to have a significant upstream effect, with implications for front rotor interaction noise. It was found that the aft rotor had no substantial effect on the position of the forward rotor tip vortex but did have a small effect on the circulation strength of the vortex when the rotors were highly loaded.
Most of the survey techniques used in archaeology and architecture are currently focused on range-data (laser scanning) and image-based systems (digital photogrammetry/photoscanning). The paper aims to highlight a dif...
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Adaptive radiotherapy is a technique intended to increase the accuracy of radiotherapy. Currently, it is not clinically feasible due to the time required to process the images of patient anatomy. Hardware acceleration...
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ISBN:
(纸本)9782839918442
Adaptive radiotherapy is a technique intended to increase the accuracy of radiotherapy. Currently, it is not clinically feasible due to the time required to process the images of patient anatomy. Hardware acceleration of imageprocessingalgorithms may allow them to be carried out in a clinically acceptable timeframe. This paper presents the experiences encountered using high-level synthesis tools to design an accelerated segmentation algorithm for computed tomography images targeted for implementation on a System on Chip. Hardware coprocessors and their interfaces for optimal threshold generation and 3D mean filter algorithms were synthesised from C++ functions. Hardware acceleration significantly outperformed the software only implementation. The high-level synthesis tools allowed the rapid exploration of different design options. However, hardware design knowledge was still necessary in order to interpret the results effectively.
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