Recently. computervision is playing an important role in many essential applications, such as medical image analysis, visual surveillance, etc. Many of these applications are subject to a "real-Time constraint&q...
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ISBN:
(纸本)9789898533524
Recently. computervision is playing an important role in many essential applications, such as medical image analysis, visual surveillance, etc. Many of these applications are subject to a "real-Time constraint", therefore it requires a fast and reliable computation system. Edge detection is the approach used most frequently for segmenting images based on changes in intensity, it extracts important structural information needed for high-level functionality and reduces the amount of data that needs to be processed. There are various kernels employed to achieve edge detection, such as Sobel, Robert, and Prewitt, upon which, the most commonly used is Sobel. This paper introduces a novel type of operator cells on the Reconfigurable Static Data-flow Architecture (RSDA), which is a scalable architecture optimized for the computation of image and video. This enhancement shows significant improvement, as it decreases the computational 26%, compared to using the conventional adder cells, and also decreases the LUTs and hardware resources of the architecture. A comparison between the conventional adders and different types of compressors has been exploited based on results from simulation on Isim simulator and a flooring plan using PlanAhead tool.
We are interested in building scalable computervision systems for distributed processing of big visual data. We apply data streaming concepts, namely stream algebra operators, which have been proven effective in the ...
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ISBN:
(纸本)9781450347860
We are interested in building scalable computervision systems for distributed processing of big visual data. We apply data streaming concepts, namely stream algebra operators, which have been proven effective in the database literature. The operators collectively form an algebra over data streams. The algebra has well defined semantics. It naturally describes online computervision algorithms and their feedback control and tuning algorithms. In this work, we present the first implementation of such algebra at large scale. Our implementation provides a high level programming interface for constructing and executing vision workflow graphs while hiding the data transfer and concurrency details. It also allows feedback control and dynamic reconfiguration of vision algorithms. A case study is discussed showing a streaming workflow for online lane and road boundary detection and describing the flexibility and effectiveness of the algebra for building complex distributed applications.
With the rapid growth of surveillance cameras and sensors, a need of smart video analysis and monitoring system is gradually increasing for browsing and storing a large amount of data. Traditional video analysis metho...
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Line laser based vision system for an inspection of a small adhesive bead is introduced. To measure the height and width of a small adhesive bead, a robust vision software is proposed. To reduce a wide laser beam infl...
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In this paper, we propose the new implementation of HCI software interface based on the image identification and the segmentation algorithms. Human-computer interaction refers to using the dialogue between man and com...
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ISBN:
(纸本)9781509045563
In this paper, we propose the new implementation of HCI software interface based on the image identification and the segmentation algorithms. Human-computer interaction refers to using the dialogue between man and computer language, in a certain way of the interaction, to determine the task of the exchange of the information between people and the computer process. The meaning of the image recognition technology is very wide, mainly refers to through the computer, using mathematical method, a system for the front-end to obtain images of treatment have been carried out in accordance with the specific purpose. image segmentation is one of the most important content in the field of computervision is the first to realize automatic image analysis and pattern recognition problem which is also one of the classic problems of imageprocessing. We combine the mentioned techniques to form the optimized novel perspective of the HCI interface design that is innovative. The experimental simulation verifies the feasibility of the approach.
Iconic images represent an abstract topic and use a presentation that is intuitively understood within a certain cultural context. For example, the abstract topic "global warming" may be represented by a pol...
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Haze removal is an important problem that existing studies have addressed from slight to extreme levels. It finds wide application in landscape photography where the haze causes low contrast and saturation, but it can...
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In this paper we present a light-weight image Analysis tool targeted at undergraduate students. More specifically, our tool enables undergraduate students to interact with the application in real time to understand ho...
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The main goal of this paper is to review some existing text-based and content-based image retrieval systems and methods. The images should be indexed properly to be saved and retrieved. It is suggested although images...
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In this paper, a fractional order total variation model is introduced in the estimation of motion field. In particular, the proposed model generalizes the integer order total variation models. The motion estimation is...
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