The proceedings contain 25 papers. The topics discussed include: a novel method of filtration by the discrete heap transforms;alpha-rooting method of color image enhancement by discrete quaternion Fourier transform;ed...
ISBN:
(纸本)9780819499363
The proceedings contain 25 papers. The topics discussed include: a novel method of filtration by the discrete heap transforms;alpha-rooting method of color image enhancement by discrete quaternion Fourier transform;edge preserving motion estimation with occlusions correction for assisted 2D to 3D conversion;exemplar-based in painting using local binary patterns;local feature descriptor based on 2D local polynomial approximation kernel indices;metric performance in similar blocks search and their use in collaborative 3D filtering of grayscale images;generalized non-local means filtering for image denoising;calibration of a dual-PTZ-camera system for stereo vision based on parallel particle swarm optimization method;probabilistic person identification in TV news programs using image web database;spatial-temporal features of thermal images for Carpal tunnel syndrome detection;and a speed-optimized RGB-Z capture system with improved denoising capabilities.
Acousto-optical tunable filters (AOTFs) based on interaction of light and ultrasound in uniaxial birefringent crystals are widely used in imaging spectroscopy applications due to random spectral access, narrow control...
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ISBN:
(数字)9781510643994
ISBN:
(纸本)9781510643994
Acousto-optical tunable filters (AOTFs) based on interaction of light and ultrasound in uniaxial birefringent crystals are widely used in imaging spectroscopy applications due to random spectral access, narrow controllable bandwidth, compactness, overal ease-of-use and image trasmittance capability. The spectral transmission of AOTF-based spectral imagers is usually characterized for paraxial light beam, but AOTFs inherently have non-uniform spatio-spectral transmission, so the central wavelength of the transmission window varies with the angle of incident light. We demonstrate that the spatio-spectral characteristics of acousto-optic (AO) interaction may be described either by the dependency of ultrasound frequency on the incident light angle for a given wavelength or by the dependency of wavelength on the incident angle for a given sound frequency. These dependencies are derived from the phase matching condition and are determined by the refractive indices, sound phase velocities and the AO diffraction geometry. We experimentally estimate the appearance of this specific spatio-spectral structure on the images acquired by AOTF-based imagers based on both collimating and confocal (telecentric) schemes and show that the variations of central wavelength and spectral bandwidth are noticeable for collimating setup even in the commonly used small field of view. The results of the study may be applied in design of AOTF-based spectral imagers and imageprocessingalgorithms.
Simulative generation of images that would be registered by a photo camera installed on board UAV is a complex process, consisting of a number of geometric transformations and imageprocessing operations. The article ...
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ISBN:
(数字)9781510627864
ISBN:
(纸本)9781510627864
Simulative generation of images that would be registered by a photo camera installed on board UAV is a complex process, consisting of a number of geometric transformations and imageprocessing operations. The article presents a method of creating such images based on the assumed UAV navigation parameters, i.e. geographical coordinates, altitude and angles of orientation. The operation of the proposed simulator is based on the use of equations related to the geometry of the perspective photo and the principle of operation of a digital camera. The simulator may be used as a generator of testing images, especially for research works related to creating and developing algorithms for vision-based navigation. It allows to simulate and save images for the whole preprogrammed flight trajectory. It supports also creating robust algorithms for processing erroneous data from integrated navigation systems. Comparing images obtained from an onboard camera with their simulated counterparts allows to determine synchronization errors, which is important for the appropriate operation of a vision-based navigation system.
The article contains an analysis of potential prospects of simultaneous localization and mapping (SLAM) algorithms application in imagery intelligence (IMINT). The first part of the paper presents a detailed descripti...
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ISBN:
(数字)9781510627864
ISBN:
(纸本)9781510627864
The article contains an analysis of potential prospects of simultaneous localization and mapping (SLAM) algorithms application in imagery intelligence (IMINT). The first part of the paper presents a detailed description of the SLAM problem. Diverse solutions to the simultaneous localization and mapping problem and related research over the years are presented. The most promising of SLAM approaches are pointed out. To facilitate SLAM analysis, the problem is partitioned into three parts. First, various SLAM estimation techniques are characterized. A mathematical theory behind the usage of parametric filters, non-parametric filters, and least squares method is presented. Further, differences between SLAM algorithms are described in terms of various sensors used on-board SLAM platforms for the examination of the environment. The examination is commonly addressed as landmark extraction. A separate part of the paper discusses the imageprocessing in SLAM. The last part of the SLAM analysis is dedicated to various approaches to map presentation. Further, the properties of SLAM techniques are characterized in terms of their potential benefits to IMINT. Prospects of increased efficiency, accuracy and safety of intelligence gathering process are discussed.
The article presents the concept of how to use convolutional networks as a method for processing digital images acquired in visible region of light for the needs of smoke detection in large open area. The meaning and ...
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ISBN:
(数字)9781510627864
ISBN:
(纸本)9781510627864
The article presents the concept of how to use convolutional networks as a method for processing digital images acquired in visible region of light for the needs of smoke detection in large open area. The meaning and consequences of massive blaze were underlined on the basis of statistical data concerning the forest fires. The proposal to overcome the difficulties in using traditional methods for detection of fire threat by imageprocessing techniques was discussed. The idea, inner structure and properties of a convolutional neural network as a tool for automatic feature generation and image recognition were presented. The algorithms of data processing used in vision systems for fire detection were analyzed including the solutions implementing the networks. On the basis of the analysis the proposal to develop a neural network for smoke detection with the use of the strategy called transfer learning was presented. Using the image base of fires available on the web, the quantified assessment of the proposed approach was conducted. In the research the AlexNet framework was adopted to recognize smoke in images. The processing of the net was illustrated with examples of activations of selected layers when fed with images containing smoke. The 99% sensitivity reached by the proposed processing together with the 1% of false alarm rate seems to be very promising for the system of fire surveillance based on watchtowers or air vessels monitoring large open areas.
Problem of technical objects low contrast image areas analysis is actual. Even now the black and white photo materials are used along with colour images. Particularly it can be attributed to X-ray control. The majorit...
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Problem of technical objects low contrast image areas analysis is actual. Even now the black and white photo materials are used along with colour images. Particularly it can be attributed to X-ray control. The majority of industrially produced photo layers are colourless. As a rule, images are analyzed visually. In particular such method is used in medical X-ray control. Up to a present moment there are no reliable algorithms capable of separating pathological and non-affected areas. If an image is sufficiently clear and contrast then it is analyzed using the primary photo-image. If the image has low contrast then a researcher, firstly, converts it into a pseudo-colour or three-dimensional and then analyses it. Such procedure is determined by complex dependence of many factors, but the most important are the following three: psycho-physiological complexity to distinguish the boundaries of the image, difficulty to create an algorithm capable of recognizing the norm-pathology boundary without help of a human, and inability of an average human eye to discern more than 10 - 12 gradations on black and white image. Existence of the mentioned factors led to various approaches to obtaining higher quality of images - the image pseudo-colour coding method, and the method of 3-D conversion. In the present paper the combination of the developed and patented by the author method for optical images analysis and well known method of computer image analysis using Femtoscan software (designed for electronic microscope images analysis) is considered.
In computational vision has a high computational cost, although, some algorithms had been implemented to get image features, that allow assorting, object and face recognition and so on. Some solutions have been develo...
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ISBN:
(数字)9781510620742
ISBN:
(纸本)9781510620742
In computational vision has a high computational cost, although, some algorithms had been implemented to get image features, that allow assorting, object and face recognition and so on. Some solutions have been developed in computers, DSP and GPU those that are not optimal with time. In order to improve the performance of these algorithms, we are implementing the SURF algorithm in embedded systems (FPGA) and applied to non-controller environments that require real-time response. In this work we development a SURF algorithm in order to improve time processing in video and imageprocessing, we use an FPGA to apply that algorithm, we compare the time processing with different devices and the features found it into the images, this features will be invariant to scale, rotation and lighting, the SURF algorithm localize the interest points (features), its is using in facial recognition, object detection, stereo vision and so on. This algorithm has a high computational cost because of use a lot of data, in order to reduce the high cost we implemented LUTs and reduce time with code. With this work we try to find the best way to implement the algorithm into embedded systems, in order to use in non-controller environments and robots autonomous.
The paper analyzes well-known automated microscopy systems. The work presents the comparative analysis of low-and middle-designed algorithms. The adaptive module of pre-processing and image segmentation has been worke...
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ISBN:
(纸本)9786176079132
The paper analyzes well-known automated microscopy systems. The work presents the comparative analysis of low-and middle-designed algorithms. The adaptive module of pre-processing and image segmentation has been worked out.
In this paper, an integral design that combines optical system with imageprocessing is introduced to obtain high resolution images, and the performance is evaluated and demonstrated. Traditional imaging methods often...
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ISBN:
(纸本)9781510601154
In this paper, an integral design that combines optical system with imageprocessing is introduced to obtain high resolution images, and the performance is evaluated and demonstrated. Traditional imaging methods often separate the two technical procedures of optical system design and imaging processing, resulting in the failures in efficient cooperation between the optical and digital elements. Therefore, an innovative approach is presented to combine the merit function during optical design together with the constraint conditions of imageprocessingalgorithms. Specifically, an optical imaging system with low resolution is designed to collect the image signals which are indispensable for imaging processing, while the ultimate goal is to obtain high resolution images from the final system. In order to optimize the global performance, the optimization function of ZEMAX software is utilized and the number of optimization cycles is controlled. Then Wiener filter algorithm is adopted to process the image simulation and mean squared error (MSE) is taken as evaluation criterion. The results show that, although the optical figures of merit for the optical imaging systems is not the best, it can provide image signals that are more suitable for imageprocessing. In conclusion. The integral design of optical system and imageprocessing can search out the overall optimal solution which is missed by the traditional design methods. Especially, when designing some complex optical system, this integral design strategy has obvious advantages to simplify structure and reduce cost, as well as to gain high resolution images simultaneously, which has a promising perspective of industrial application.
Cameras in mobile phones are supposed to capture images under a huge variety of lighting conditions while mostly hand held. To improve the performance in low light conditions, image stabilization shall optimize the re...
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