The use of reconfigurable computervision architecture for imageprocessing tasks is an important and challenging application in real time systems with limited resources. It is an emerging field as new computing archi...
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ISBN:
(纸本)9781450347860
The use of reconfigurable computervision architecture for imageprocessing tasks is an important and challenging application in real time systems with limited resources. It is an emerging field as new computing architectures are developed, new algorithms are proposed and users define new emerging applications in surveillance. In this paper, a computervision architecture capable of reconfiguring the processing chain of computervision algorithms is summarised. The processing chain consists of multiple computervision tasks, which can be distributed over various computing units. One key characteristic of the designed architecture is graceful degradation, which prevents the system from failure. This system characteristic is achieved by distributing computervision tasks to other nodes and parametrizing each task depending on the specified quality-of-service. Experiments using an object detector applied to a public dataset are presented.
The paper presents a data and task parallel low-level imageprocessing environment for distributed memory systems. imageprocessing operators are parallelized by data decomposition using algorithmic skeletons. At the ...
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ISBN:
(纸本)0769512607
The paper presents a data and task parallel low-level imageprocessing environment for distributed memory systems. imageprocessing operators are parallelized by data decomposition using algorithmic skeletons. At the application level we use task decomposition, based on the image Application Task Graph. In this way, an imageprocessing application can be parallelized both by data and task decomposition, and thus beter speed-ups can be obtained. We validate our method on the multi-baseline stereo vision application.
computervision and imageprocessing advancements contribute to an automated leather species identification technique. In the novel leather image data, hair pores are the key to distinguishing among species. However, ...
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Mobile application based diagnosis has become an aid nowadays. For better diagnosis, the quality of image needs to be good. Automatic assessment of images will help the ophthalmologists to focus more on the diagnosis....
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The computervision systems are mainly devoted for production monitoring in quality inspection systems. It is the fastest growing and most popular non-invasive product defects detection method. The productivity of ele...
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ISBN:
(纸本)9781509018666
The computervision systems are mainly devoted for production monitoring in quality inspection systems. It is the fastest growing and most popular non-invasive product defects detection method. The productivity of electronic components growth and their prices decline creates favorable conditions for the development of imageprocessing systems for industrial production. The food industry is one of the main industries. Production volumes grow along with human population growth. Containers for food industry are made in very large quantities and demand on quality inspection system plays important role. An automated computervision system was developed for the control of PET preparation quality. The implementation of the designed system was presented in this article. The system used for imageprocessing algorithms to inspect the lateral and upper parts of the workpiece. The system is designed according to its operating parameters. Reached throughput is 10,000 workpieces per hour.
A novel image segmenting method is proposed in this paper. This segmenting method based on region growing returns images further entitled puzzled images. Based on puzzled image, a new pseudo-dense optical flow method ...
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ISBN:
(纸本)9789898533524
A novel image segmenting method is proposed in this paper. This segmenting method based on region growing returns images further entitled puzzled images. Based on puzzled image, a new pseudo-dense optical flow method is presented and discussed. Additionally, an optical flow cumulative function, assisted by a Least Square based iterative error filtering method, is presented and proposed for background detection and/or 3D background estimation.
Smart living and well aging represent key challenges for our society. The precursor state of adverse outcomes that characterize aging has been recognized from scientific community with the frailty syndrome, determined...
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ISBN:
(纸本)9781467399616
Smart living and well aging represent key challenges for our society. The precursor state of adverse outcomes that characterize aging has been recognized from scientific community with the frailty syndrome, determined by the loss of physical and psychological capacities. In this paper we define gait and posture indexes that can be effectively and unobtrusively measured using computervision and RGBD sensors, e.g. the popular MS Kinect. In this study we present preliminary results showing evidence that the proposed approach can pave the way to the design of an automatic and objective tool for detection and early prevention of frailty.
作者：
Assas, Ouarda
University of M’sila M’sila Algeria
— With the development of acquisition image techniques, more data coming from different sources of image become available. Multi-modality image fusion seeks to combine information from different images to obtain more...
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A new approach is presented for the enhancement of color satellite images using the fuzzy logic technique. The hue, saturation, and gray level intensity (HSV) color space is applied for the purpose of color satellite ...
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Despite recent advancements in single image super-resolution (SISR) methodologies, reconstruction of photo-realistic high resolution (HR) image from its single low resolution (LR) counterpart remains a challenging tas...
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