The proceedings contain 104 papers. The topics discussed include: a comparative study using the methods of simulated annealing and non-linear hebbian learning for fuzzy cognitive maps performances;self-labeled hidden ...
ISBN:
(纸本)9781509034291
The proceedings contain 104 papers. The topics discussed include: a comparative study using the methods of simulated annealing and non-linear hebbian learning for fuzzy cognitive maps performances;self-labeled hidden naive bayes algorithm for semi-supervised classification;performance analyses and improvement of multilayer neural networks;algorithms for imageprocessing in graph-based volumetric segmentation;optimizing signal and discriminant information for hyperspectral images;fake banknote detection using multispectral images;hand tracking as a tool to quantify carpal tunnel syndrome preventive exercises;and sound and stereoscopic 3D: examining the effects of sound on depth perception in stereoscopic.
Feature selection, as a preprocessing step to machine learning, plays a pivotal role in removing irrelevant data, reducing dimensionality and improving performance evaluations. Recent years, sparse representation has ...
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An important element of the modern automated control systems, monitoring and remote access is to obtain primary information about the state and behavior of static or moving objects. To obtain such information we propo...
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ISBN:
(纸本)9781467383837
An important element of the modern automated control systems, monitoring and remote access is to obtain primary information about the state and behavior of static or moving objects. To obtain such information we propose to use photo and video detectors, which could provide images of objects with high resolution in the system. Thus, the possibility of determining the geometric and kinematic parameters of the moving object are significantly reduced because of the different aspects of producing an image, one of these aspects is the blur. The geometric parameters of the object are determined by analyzing the blur of its images obtained at different settings of the photodetector. In this paper, algorithms of processing of primary information are improved by the use of methods and procedures of statistical analysis and probabilistic approach. It increases the accuracy of determined characteristics, the applicability of procedures for the calculation of state parameters (size, shape, distance from observer) and behavior parameters of the object (speed and direction) and reduces the computational complexity of the final algorithm. The research allows not only determine the geometric parameters of the object, but also to evaluate their accuracy and to develop elements of the algorithm that can be used in real systems of video monitoring
Signal processing subsystem is the core of a radar system, the performance and the design cycle of which could directly influence the implementation of the whole system. Therefore, how to realize a high-performance fl...
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ISBN:
(纸本)9781509013456
Signal processing subsystem is the core of a radar system, the performance and the design cycle of which could directly influence the implementation of the whole system. Therefore, how to realize a high-performance flexible universal real-time SAR signal processing system is one of the main challenges nowadays. The paper proposes the design architecture and implementation of a high-performance real-time SAR signal processing system with the TI's latest multi-core DSP TMS320C6678 based on the VPX 3U standard. It shows the strong computation ability, stability, easy reconstruction and good adaptability to a variety of imaging algorithms. By the successful application cases of the multi-mode, multi-polarization, multi-resolution space-borne and airborne real-time SAR imaging systems, its flexibility and high-performance could be adequately proved. Moreover, our experiment result indicates that a SAR RD algorithm takes only 21.55s for a 0.2m* 0.2m resolution 4GB(16Kx32K complex points) image, achieving realtime performance.
Periocular characteristics has gained substantial importance in recent times to supplement the performance of facial biometrics or as a stand-alone characteristics. While most of the current biometric systems for auth...
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ISBN:
(纸本)9780996452700
Periocular characteristics has gained substantial importance in recent times to supplement the performance of facial biometrics or as a stand-alone characteristics. While most of the current biometric systems for authentication or surveillance operate either in NIR spectrum or visible spectrum, the ocular information can be well utilized if a comparison of images from different spectra has to be conducted. In this work, we present a novel approach employing the features obtained from steerable pyramids to compare the ocular images captured from NIR versus the images captured from visible spectrum. The set of features obtained using the proposed cross-spectral approach are then used to learn a multi-class SVM classifier such that the probe image originating from another spectrum can be classified. Further, a fusion frame-work for combining the scores from different orientations of the steerable pyramid is proposed for a particular scale to strengthen the biometric performance of the algorithm. An extensive set of experiments conducted on a large database consisting of ocular images captured from 120 subjects (240 unique ocular instances) indicates the robustness of the proposed approach with a GMR of 100% at the FMR of 0.01% in a benchmark against other state-of-the-art techniques suggesting the applicability of proposed approach to greater extent.
The proceedings contain 41 papers. The special focus in this conference is on imageprocessing and Signal processing. The topics include: A statistical dominance algorithm for edge detection and segmentation of medica...
ISBN:
(纸本)9783319397955
The proceedings contain 41 papers. The special focus in this conference is on imageprocessing and Signal processing. The topics include: A statistical dominance algorithm for edge detection and segmentation of medical images;swarm intelligence approach to 3D medical image segmentation;directional characteristics of mammographic spicules in the complex wavelet domain;discrimination of wheat grain varieties using x-ray images;face localization algorithms as element of silhouette localization process;imaging of the anterior eye segment in the evaluation of corneal dynamics;biopsy needle and tissue deformations detection in elastography supported ultrasound;modification of the ICP algorithm for detection of the occlusal area of dental arches;the fast matching algorithm for rectified stereo images;simple atlas selection strategies for liver segmentation in CT images;automatic 3D segmentation of renal cysts in CT;the importance of the features of the posterior cruciate ligament in diagnosis;multimodal image registration for mandible motion tracking;breast ultrasound tomography;the ultrasound investigation of the medial head of gastrocnemius muscle;the use of doppler effect for tomographic tissue imaging with omnidirectional acoustic data acquisition;analytical statistical approach for fan-beam scanners;3D measurement of geometrical distortion of synchrotron-based perforated polymer with matlab algorithm;improving children diagnostics by efficient multi-label classification method;towards pulse wave velocity estimation using specific ECG and PPG algorithms;averaging of time-warped ECG signals for QT interval measurement and localization of epileptic foci using EEG brain mapping.
This paper represents a literature review of research works concerning the reconstruction of forms of buried objects in an homogeneous soil, applied for the reconstruction of forms of underground cavities. First, we w...
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This book constitutes the refereed proceedings of the 12th IFIP WG 12.5 International conference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in Thessaloniki, ...
ISBN:
(数字)9783319449449
ISBN:
(纸本)9783319449432
This book constitutes the refereed proceedings of the 12th IFIP WG 12.5 International conference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in Thessaloniki, Greece, in September 2016. The workshops are the Third Workshop on New Methods and Tools for Big Data, MT4BD 2016, the 5th Mining Humanistic Data Workshop, MHDW 2016, and the First Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2016. The 30 revised full papers and 8 short papers presented at the main conference were carefully reviewed and selected from 65 submissions. The 17 revised full papers and 7 short papers presented at the 3 parallel workshops were selected from 33 submissions. The papers cover a broad range of topics such as artificial neural networks, classification, clustering, control systems - robotics, data mining, engineering application of AI, environmental applications of AI, feature reduction, filtering, financial-economics modeling, fuzzy logic, genetic algorithms, hybrid systems, image and video processing, medical AI applications, multi-agent systems, ontology, optimization, pattern recognition, support vector machines, text mining, and Web-social media data AI modeling.
The work is devoted to the synthesis and investigation of parallel algorithm for a finite difference solution of the Poisson equation using the Jacobi method. For example, two-dimensional case demonstrates the efficac...
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The work is devoted to the synthesis and investigation of parallel algorithm for a finite difference solution of the Poisson equation using the Jacobi method. For example, two-dimensional case demonstrates the efficacy of the method of the pyramids in the synthesis of said algorithm.
To provide an accurate surface defects inspection method and make the automation of robust image region of interests(ROI) delineation strategy a reality in production line, a multi-source CCD imaging based fuzzy-rough...
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ISBN:
(数字)9781510603349
ISBN:
(纸本)9781510603332;9781510603349
To provide an accurate surface defects inspection method and make the automation of robust image region of interests(ROI) delineation strategy a reality in production line, a multi-source CCD imaging based fuzzy-rough sets method is proposed for hot slab surface quality assessment. The applicability of the presented method and the devised system are mainly tied to the surface quality inspection for strip, billet and slab surface etcetera. In this work we take into account the complementary advantages in two common machine vision (MV) systems(line array CCD traditional scanning imaging (LS-imaging) and area array CCD laser three-dimensional (3D) scanning imaging (AL-imaging)), and through establishing the model of fuzzy-rough sets in the detection system the seeds for relative fuzzy connectedness(RFC) delineation for ROI can placed adaptively, which introduces the upper and lower approximation sets for RIO definition, and by which the boundary region can be delineated by RFC region competitive classification mechanism. For the first time, a Multi-source CCD imaging based fuzzy-rough sets strategy is attempted for CC-slab surface defects inspection that allows an automatic way of AI algorithms and powerful ROI delineation strategies to be applied to the MV inspection field.
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