vision sensors based upon pixel-parallel cellular processor arrays offer the unique opportunity to realise high-performance, flexible, low power imageprocessingsystems. By virtue of processing on the focal-plane, th...
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vision sensors based upon pixel-parallel cellular processor arrays offer the unique opportunity to realise high-performance, flexible, low power imageprocessingsystems. By virtue of processing on the focal-plane, the energy-demanding requirement to digitize a captured frame's raw pixel data is reduced, with returned data constituting only that which is salient. We describe a stand-alone vision system incorporating a SCAMP-3 vision chip, an FPGA and an ARM Cortex-M3 microcontroller. SCAMP integrated circuits operate as SIMD computers;each pixel incorporating a compact but powerful analogue processor and local memory, with all operations occurring in parallel over the 128 x 128 array. algorithms are developed to operate natively upon the focal-plane as far as possible, with additional serial and higher-level operations occurring on the microcontroller. The power consumption of the system is algorithm-dependent. An algorithm developed for loiterer detection at 8 fps has been shown to consume an average power of 5.5 mW, with a more complex object tracking and counting system consuming 29 mW. (C) 2013 Published by Elsevier B.v.
This paper presents an extremely fast and very low complex energy efficient image compression scheme for resource constrained, low powered devices in real time applications. The proposed Optimal Zonal 2 x 2 BinDCT is ...
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This paper presents an extremely fast and very low complex energy efficient image compression scheme for resource constrained, low powered devices in real time applications. The proposed Optimal Zonal 2 x 2 BinDCT is unique since it directly extracts and codes the DC Coefficient and the first three AC coefficients of an 8 x 8 image block using only shift-and-add operations. It is specifically designed for the resource constrained image sensor wireless networks requiring very low bitrates and is investigated in terms of image quality, entropy, processing time and overall energy consumption. Experiments are performed using the Atmel ATmega128 processor to measure the computation time and the resultant energy savings. Simulation results show that the proposed algorithm is extremely simple, fast and consumes only 4% of computation energy needed by Independent JPEG Group IJG version and thus prolongs the system lifetime. (C) 2013 Elsevier B.v. All rights reserved.
This paper focuses on the fast texture and structure reconstruction of images. The proposed method, applied to images, consists of several steps. The first one deals with the extracted textural features of the input i...
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ISBN:
(纸本)9780819494283
This paper focuses on the fast texture and structure reconstruction of images. The proposed method, applied to images, consists of several steps. The first one deals with the extracted textural features of the input images based on the Law's energy. The pixels around damaged image regions are clustered using these features, that allow to define the correspondence between pixels from different patches. Second, cubic spline curve is applied to reconstruct a structure and to connect edges and contours in the damaged area. The choice of the current pixel to be recovered is decided using the fast marching approach The Telea method or modifications of the exemplar based method are used after this depending on the classification of the regions where to-be-restored pixel is located. In modification to quickly find patches we use the perceptual hash. Such a strategy allows to get some data structure containing the hashes of similar patches. This enables us to reduce the search procedure to the procedure for "calculations" of the patch The proposed method is tested on various samples of images, with different geometrical features and compared with the state-of-the-art image inpainting methods;the proposed technique is shown to produce better results in reconstruction of missing small and large objects on test images.
In this paper, application of fuzzy logic and rendering in vision defect identification system for eye disease has been investigated. The real procedure of eye defect diagnosis which usually is employed by physicians ...
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ISBN:
(纸本)9781479903177;9781479903160
In this paper, application of fuzzy logic and rendering in vision defect identification system for eye disease has been investigated. The real procedure of eye defect diagnosis which usually is employed by physicians was analyzed and converted to a machine implementable format. After acquisition of symptoms of different diseases, a data set contains the information of a few cases was configured. The defect has been analyzed with the help of fuzzy logic rule base and imageprocessing rendering mechanism. Results of the experiments along with the advantages of using a fuzzy and rendering approach were discussed as well. Outcomes reflect the role of effective symptoms selection and the advantages of data fuzzification and fast rendering.
This book explains the stages necessary to create a wavelet compression system for images and describes state-of-the-art systems used in image compression standards and current research. It starts with a high level di...
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Stereo vision IP (Intellectual Property) modules and obstacle detection systems using stereo vision is an important issue in intelligent vehicle, robots navigation and automotive. In this paper, we proposed an IP modu...
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ISBN:
(纸本)9781467355407
Stereo vision IP (Intellectual Property) modules and obstacle detection systems using stereo vision is an important issue in intelligent vehicle, robots navigation and automotive. In this paper, we proposed an IP module with four (4) known stereo vision algorithms. The four algorithms architectures are compared in term of resources utilization and processing speed (frequency). We developed a software interface for vHDL code generation with needed IP parameters. The proposed IP-Based hardware architecture combines the stereo vision IP to compute the disparity map with v-disparity image and simplified Hough transform for obstacle detection. The proposed system was tested using virtex-II FPGA based prototyping board. Resources utilization and speed are estimated for different parameters of the disparity map algorithm.
This monograph is motivated by a significant number of vision based algorithms for Unmanned Aerial vehicles (UAv) that were developed during research and development projects. vision information is utilized in various...
ISBN:
(数字)9783319003696
ISBN:
(纸本)9783319003689
This monograph is motivated by a significant number of vision based algorithms for Unmanned Aerial vehicles (UAv) that were developed during research and development projects. vision information is utilized in various applications like visual surveillance, aim systems, recognition systems, collision-avoidance systems and navigation. This book presents practical applications, examples and recent challenges in these mentioned application fields. The aim of the book is to create a valuable source of information for researchers and constructors of solutions utilizing vision from UAv. Scientists, researchers and graduate students involved in computer vision, imageprocessing, data fusion, control algorithms, mechanics, data mining, navigation and IC can find many valuable, useful and practical suggestions and solutions. The latest challenges for vision based systems are also presented.
Colloids are made of particles of sizes from 1 to 1000 nm dispersed in liquid, or a gas phase dispersed in a liquid (foam), or a solid or liquid dispersed in a gas (fume and fog). Colloids are ideal systems for invest...
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Colloids are made of particles of sizes from 1 to 1000 nm dispersed in liquid, or a gas phase dispersed in a liquid (foam), or a solid or liquid dispersed in a gas (fume and fog). Colloids are ideal systems for investigating both spatial and temporal processes using optical methods since they have particle sizes larger than the characteristic size of atomic or molecular systems. We performed small angle light scattering (SALS) experiments in order to investigate the crossover between viscosity and concentration-driven non-equilibrium fluctuations. Our SALS experimental setup involved a free diffusion cell filled with nanoparticle colloids with the concentration gradient oriented against the gravitational field and a low coherence superluminescent diode (SLD) instead of a laser as the light source. By appropriately designing the optics, the speckle size of the CCD sensor can be matched with the pixel size, which makes the CCD a large ensemble of intensity autocorrelators working in parallel. Nonequilibrium concentration-driven fluctuations in three different nanocolloidal suspensions (gold, silver, and silica) with a wide range of particle sizes were recorded using a SALS shadowgraph technique. We used both the static and dynamic structure factor algorithms for imageprocessing in order to compute the structure factor and the correlation time of the fluctuations. The correlation time allowed us to estimate the diffusion coefficients of all three nanocolloids. Published by Elsevier B.v.
In this paper, we analyze the background and foreground images of jujube leaf, and propose a new Adaptive Thresholding algorithm that can segment single leaves in a leaf image extracted randomly from an online system....
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In this paper, we analyze the background and foreground images of jujube leaf, and propose a new Adaptive Thresholding algorithm that can segment single leaves in a leaf image extracted randomly from an online system. We use the OTSU and CANNY operators to segment the area of the target leaf by choosing the thresholds with the Mapping Function, the Shape Identification algorithm and pattern recognition. The optimization process of the algorithm, which includes Mapping Function, the Shape Identification algorithm, morphological methods and logical operations, is designed to precisely obtain the entire leaf edge. This algorithm has an advantage when segmenting complicated leaf images that contain overlapping laminas and have an uneven gray scale in the leaf region itself. Experiments show that this algorithm is both feasible and effective in segmenting jujube leaf images from real-time video systems, and we can obtain clear, smooth, accurate edge images. The algorithm can be used for other kinds of leaf or fruit image segmentation tasks after debugging and improvement. (C) 2013 Elsevier B.v. All rights reserved.
Stereoscopic/3D image and video quality assessment (IQA/vQA) has become increasing relevant in today's world, owing to the amount of attention that has recently been focused on 3D/stereoscopic cinema, television, ...
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Stereoscopic/3D image and video quality assessment (IQA/vQA) has become increasing relevant in today's world, owing to the amount of attention that has recently been focused on 3D/stereoscopic cinema, television, gaming, and mobile video. Understanding the quality of experience of human viewers as they watch 3D videos is a complex and multi-disciplinary problem. Toward this end we offer a holistic assessment of the issues that are encountered, survey the progress that has been made towards addressing these issues, discuss ongoing efforts to resolve them, and point up the future challenges that need to be focused on. Important tools in the study of the quality of 3D visual signals are databases of 3D image and video sets, distorted versions of these signals and the results of large-scale studies of human opinions of their quality. We explain the construction of one such tool, the LIvE 3D IQA database, which is the first publicly available 3D IQA database that incorporates 'true' depth information along with stereoscopic pairs and human opinion scores. We describe the creation of the database and analyze the performance of a variety of 2D and 3D quality models using the new database. The database as well as the algorithms evaluated are available for researchers in the field to use in order to enable objective comparisons of future algorithms. Finally, we broadly summarize the field of 3D QA focusing on key unresolved problems including stereoscopic distortions, 3D masking, and algorithm development. (C) 2012 Elsevier B.v. All rights reserved.
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