The paper presents the design of a real-time and low-cost embedded system for image acquisition and processing in Advanced Driver Assisted systems (ADAS). The system adopts a multi-camera architecture to provide a pan...
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ISBN:
(纸本)9781510601420
The paper presents the design of a real-time and low-cost embedded system for image acquisition and processing in Advanced Driver Assisted systems (ADAS). The system adopts a multi-camera architecture to provide a panoramic view of the objects surrounding the vehicle. Fish-eye lenses are used to achieve a large Field of View (FOV). Since they introduce radial distortion of the images projected on the sensors, a real-time algorithm for their correction is also implemented in a pre-processor. An FPGA-based hardware implementation, re-using IP macrocells for several ADAS algorithms, allows for real-time processing of input streams from VGA automotive CMOS cameras.
In this contribution, the design of a Light Field image dataset is presented. It can be useful for design, testing, and bench-marking Light Field imageprocessingalgorithms. As first step, image content selection cri...
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ISBN:
(纸本)9781450342971
In this contribution, the design of a Light Field image dataset is presented. It can be useful for design, testing, and bench-marking Light Field imageprocessingalgorithms. As first step, image content selection criteria have been defined based on selected image quality key-attributes, i.e. spatial information, colorfulness, texture key features, depth of field, etc. Next, image scenes have been selected and captured by using the Lytro Illum Light Field camera. Performed analysis shows that the proposed set of images is sufficient for addressing a wide range of attributes relevant for assessing Light Field image quality.
A novel high- speed image super-resolution algorithm based on sparse representation for MEMS defect detection is proposed in this paper. Traditional super-resolution algorithms adopt a single dictionary to represent i...
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The use of reconfigurable computer vision 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 computer vision 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 computer vision architecture capable of reconfiguring the processing chain of computer vision algorithms is summarised. The processing chain consists of multiple computer vision 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 computer vision 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.
This paper describes and evaluates a novel 3D inspection system to detect anomalies in sewer pipes using stereo vision coupled with novel imageprocessingalgorithms. Currently, most commercial pipe inspection systems...
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processing of optical signals, which are received from CCD sensors of video cameras, allows to extend the functionality of video surveillance systems. Traditional video surveillance systems are used for saving, transm...
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ISBN:
(纸本)9781510600485
processing of optical signals, which are received from CCD sensors of video cameras, allows to extend the functionality of video surveillance systems. Traditional video surveillance systems are used for saving, transmitting and preprocessing of the video content from the controlled objects. Video signal processing by analytics systems allows to get more information about object's location and movement, the flow of technological processes and to measure other parameters. For example, the signal processing of video surveillance systems, installed on carriage-laboratories, are used for getting information about certain parameters of the railways. Two algorithms for video processing, allowing recognition of pedestrian crossings of the railways, as well as location measurement of the so-called "Anchor Marks" used to control the mechanical stresses of continuous welded rail track are described in this article. The algorithms are based on the principle of determining the region of interest (ROI), and then the analysis of the fragments inside this ROI.
The proceedings of SocProS 2015 will serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, n...
ISBN:
(数字)9789811004513
ISBN:
(纸本)9789811004506
The proceedings of SocProS 2015 will serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of Soft Computing. The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task. The different application areas covered in the proceedings are: imageprocessing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired algorithms, Signal processing, Problems related to Medical and Health Care, Networking Optimization Problems, etc.
Smoke recognition is one of the research directions in the field of digital imageprocessing, but common algorithms are mostly based on the video sequence of images. A combination of infrared and visible images is pre...
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ISBN:
(数字)9783662498316
ISBN:
(纸本)9783662498316;9783662498293
Smoke recognition is one of the research directions in the field of digital imageprocessing, but common algorithms are mostly based on the video sequence of images. A combination of infrared and visible images is presented in this paper, by extracting the analyte infrared image outer contour, and complete comparison of the extent of the visible outline of the image in the same area. Then according to the measured object within the outer contour of the two bands contain the number of pixels ratio, determine the impact of smoggy on the visible image. Experiments show that the algorithm needs to be analyzed only for the infrared and visible band single still image. You can draw judgment of smoggy environment, and it can provide the basis for a fire alarm.
Background: Microscopic analysis requires that foreground objects of interest, e.g. cells, are in focus. In a typical microscopic specimen, the foreground objects may lie on different depths of field necessitating cap...
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Background: Microscopic analysis requires that foreground objects of interest, e.g. cells, are in focus. In a typical microscopic specimen, the foreground objects may lie on different depths of field necessitating capture of multiple images taken at different focal planes. The extended depth of field (EDoF) technique is a computational method for merging images from different depths of field into a composite image with all foreground objects in focus. Composite images generated by EDoF can be applied in automated imageprocessing and pattern recognition systems. However, current algorithms for EDoF are computationally intensive and impractical, especially for applications such as medical diagnosis where rapid sample turnaround is important. Since foreground objects typically constitute a minor part of an image, the EDoF technique could be made to work much faster if only foreground regions are processed to make the composite image. We propose a novel algorithm called object-based extended depths of field (OEDoF) to address this issue. Methods: The OEDoF algorithm consists of four major modules: 1) color conversion, 2) object region identification, 3) good contrast pixel identification and 4) detail merging. First, the algorithm employs color conversion to enhance contrast followed by identification of foreground pixels. A composite image is constructed using only these foreground pixels, which dramatically reduces the computational time. Results: We used 250 images obtained from 45 specimens of confirmed malaria infections to test our proposed algorithm. The resulting composite images with all in-focus objects were produced using the proposed OEDoF algorithm. We measured the performance of OEDoF in terms of image clarity (quality) and processing time. The features of interest selected by the OEDoF algorithm are comparable in quality with equivalent regions in images processed by the state-of-the-art complex wavelet EDoF algorithm;however, OEDoF required four times l
Single image super-resolution (SR) reconstruction aims to estimate a noise-free and blur-free high resolution image from a single blurred and noisy lower resolution observation. Most existing SR reconstruction methods...
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ISBN:
(纸本)9781467389105
Single image super-resolution (SR) reconstruction aims to estimate a noise-free and blur-free high resolution image from a single blurred and noisy lower resolution observation. Most existing SR reconstruction methods assume that noise in the image is white Gaussian. Noise resulting from photon counting devices, as commonly used in image acquisition, is, however, better modelled with a mixed Poisson-Gaussian distribution. In this study we propose a single image SR reconstruction method based on energy minimization for images degraded by mixed Poisson-Gaussian noise. We evaluate performance of the proposed method on synthetic images, for different levels of blur and noise, and compare it with recent methods for non-Gaussian noise. Analysis shows that the appropriate treatment of signal-dependent noise, provided by our proposed method, leads to significant improvement in reconstruction performance.
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