Nowadays, the individuals identification is a problem in many private company, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. A mod...
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ISBN:
(纸本)9781538692349;9781538692332
Nowadays, the individuals identification is a problem in many private company, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. A modern biometric method, which has several advantages, especially in terms of security against forgery, is finger vein identification. In the present work we have proposed and developed multi-core algorithms for the identification of people using finger veins, based on the SIFT displacement method, which currently has reached the highest efficiency performance in the state-of-the-art in the finger vein identification. The highest performance was reached with the hierarchical multi-core version, which uses two different type of threads, one is in charge of the query management and the second one in charge of the query processing with the database.
Quantitative acoustic microscopy (QAM) is an imaging modality which uses very-high-frequency ultrasound (i.e., >200 MHz) to form two-dimensional (2D) quantitative images of acoustical and mechanical properties of s...
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ISBN:
(纸本)9781509041176
Quantitative acoustic microscopy (QAM) is an imaging modality which uses very-high-frequency ultrasound (i.e., >200 MHz) to form two-dimensional (2D) quantitative images of acoustical and mechanical properties of soft tissues with microscopic resolution (i.e., better than 8 mu m). The key component of a QAM system is the ultrasound transducer which must be broadband, have a very small F-number (i.e., < 1.2), and good sensitivity. In this study, two QAM systems based on a 250-MHz and a 500-MHz transducer are presented, yielding 2D quantitative images at spatial resolution of 7 mu m and 4 mu m respectively. Thin tissue sections obtained using a microtome or cryotome are raster scanned with precise motors and pulse-echo RF signals are digitized. Inverse models are then used to process each RF signal individually to estimate acoustic impedance, speed of sound, and acoustic attenuation as well as derived parameters such as bulk modulus, mass density, and compressibility. To illustrate the QAM technology and signal processingalgorithms, images from cancerous human lymph nodes and ophthalmologic samples are presented and coregistered with histology photomicrographs.
Realization of automated reading and video processing to study efficient algorithms for tracking the dynamics of growth and spread of spores of mesophilic and thermophilic microorganisms were studied. The basic steps ...
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ISBN:
(纸本)9781538606971
Realization of automated reading and video processing to study efficient algorithms for tracking the dynamics of growth and spread of spores of mesophilic and thermophilic microorganisms were studied. The basic steps based on the algorithm of automatic counting and tracking spore colonies in real time were investigated.
This paper introduces DUBIO, a cloud platform which analyzes the radiometric infrared videos uploaded by drones which patrol large PV plants. Thanks to its artificial vision algorithms, DUBIO does not require any huma...
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This paper introduces DUBIO, a cloud platform which analyzes the radiometric infrared videos uploaded by drones which patrol large PV plants. Thanks to its artificial vision algorithms, DUBIO does not require any human intervention in selecting and associating the framed PV modules to the corresponding ones in the topology of the plant. DUBIO implements an innovative diagnostic protocol, which evidences the behavior of the module independently from the environmental conditions, i.e., decontextualizes the overheating of each module from the external conditions. By this way, the data automatically computed and collected in a multimedia database provide the O&M technicians with significant information, useful also for studying the ageing trend of each module of the monitored plant. The system, which is currently under a massive test in several plants of Enel Green Power, will constitute a pay for use service cloud platform worldwide available to the O&M market, since the second quarter of 2018.
Mainly when applied in the underwater environment, sonar simulation requires great computational effort due to the complexity of acoustic physics. Simulation of sonar operation allows evaluating algorithms and control...
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Mainly when applied in the underwater environment, sonar simulation requires great computational effort due to the complexity of acoustic physics. Simulation of sonar operation allows evaluating algorithms and control systems without going to the real underwater environment;that reduces the costs and risks of in-field experiments. This paper tackles with the problem of real-time underwater imaging sonar simulation by using the OpenGL shading language chain on GPU. Our proposed system is able to simulate two main types of acoustic devices: mechanical scanning imaging sonars and forward-looking sonars. The underwater scenario simulation is performed based on three frameworks: (i) OpenSceneGraph reproduces the ocean visual effects, (ii) Gazebo deals with physical forces, and (iii) the Robot Construction Kit controls the sonar in underwater environments. Our system exploits the rasterization pipeline in order to simulate the sonar devices, which are simulated by means of three parameters: the pulse distance, the echo intensity and the sonar field-of-view, being all calculated over observable objects shapes in the 3D rendered scene. Sonar-intrinsic operational parameters, speckle noise and object material properties are also considered as part of the acoustic image. Our evaluation demonstrated that the proposed system is able to operate close to or faster than the real-world devices. Also, our method generates visually realistic sonar images when compared with real-world sonar images of the same scenes. (C) 2017 Elsevier Ltd. All rights reserved.
This paper presents an analysis of code implementation performance for imageprocessingalgorithms. The test is made for imageprocessingalgorithms for robotic arms, but it is suitable for any type of image processin...
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This paper presents an analysis of code implementation performance for imageprocessingalgorithms. The test is made for imageprocessingalgorithms for robotic arms, but it is suitable for any type of imageprocessing software. imageprocessing software can use quite big amount of resources, so this way it can be tested which platform, which operating system or which programming language is the most suitable for usage. The imageprocessing task is a color detection task with some line and circle overlays for robotic arm's guidance. The implementations were tested base on code line numbers, code size on disk, binary file size on disk, used memory during execution and used CPU during execution.
Interest point detection is one of the key technologies in imageprocessing and target recognition. This paper presents a new method for detecting interest points in digital images and computer vision problems based o...
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ISBN:
(纸本)9781538629185
Interest point detection is one of the key technologies in imageprocessing and target recognition. This paper presents a new method for detecting interest points in digital images and computer vision problems based on complex network theory. We associate a directed and weighted complex network model to each image and then we propose three different algorithms to locate these key points based on three topological features of image complex network model, which are degree, closeness and betweenness.
One of the most important tasks being solvable on the aircraft board is a task of imposition of real images and images synthesized according to the digital terrain map. Complex of auxiliary tasks and actual imposition...
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One of the most important tasks being solvable on the aircraft board is a task of imposition of real images and images synthesized according to the digital terrain map. Complex of auxiliary tasks and actual imposition task should be solved on a real time basis (with frequency 25 frames per second) and with strict requirements to accuracy of the heterogeneous image imposition. Traditional correlation-extremal methods of imposition ensure a necessary accuracy but require unacceptably high expenditures of computer time. The paper describes an algorithm of imposition based on affine transformations of the synthesized image to the plane of a real video image and also algorithms for solution of auxiliary tasks.
In this paper, we present a novel denoising algorithm based on the Rodin-Osher-Fatemi (ROF) model. The goal is to ensure maximum noise removal while preserving image details. To achieve this goal, we developed a new e...
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Estimating transmission maps is the key to single image dehazing. Recently, Convolutional Neural Networks based methods (CNNs), which aim to minimize the difference between the predictions and the transmission maps, h...
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ISBN:
(纸本)9783319700908;9783319700892
Estimating transmission maps is the key to single image dehazing. Recently, Convolutional Neural Networks based methods (CNNs), which aim to minimize the difference between the predictions and the transmission maps, have achieved promising dehazing results and outperformed traditional feature-based algorithms. However, two transmission maps with the same estimation error can produce quite different dehazing results. Therefore, these models are incapable to directly affect the quality of the restorations. To address this issue, we propose a pixel-to-pixel dehazing convolutional neural network in this paper, which learns a map from the hazy images to the haze-free screens. Specifically, we intuitively maximize the visual similarity between the predicted images and the ground truth with some visual-relevant loss functions, e.g., the mean square error and the gradient difference loss. Experiments on synthetic dataset and real images demonstrate that our method is effective and outperforms the state-of-the-art dehazing methods.
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