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IEEE International conference on Advanced Intelligent Mechatronics (AIM)

作者： Herfst, R. W. Bijster, R. J. F. Dekker, A. Wei, J. van Zeijl, H. W. Kruidhof, R. Sadeghian, H. TNO Tech Sci Optomechatron Dept Stieltjesweg 1 NL-2628 CK Delft Netherlands Else Kooi Lab Feldmannweg 17 NL-2628 CT Delft Netherlands

ISBN: (纸本)9781509060009

High resolution and high throughput imaging are typically mutually exclusive. While there is a wide range of techniques to image features beyond the diffraction limit of light, they all have their own benefits and drawbacks, but they are often very slow compared to optical systems. As such, extending the performance of optical microscopes remains. Examples of high resolution optical concepts are metamaterials nano-antennas, superoscillatory lenses and hyperlenses. These concepts require precise and high speed positioning of the optical element at lens-to-sample separations measured in tens of nanometers. We present a design and process for a MEMS nanopositioning stage capable of sub-nm positioning of a metamaterials optical lens with very high bandwidth. Laser vibrometer measurements on the first batch of fully fabricated devices showed that the first eigenfrequency is at 500 +/- 25 kHz, somewhat below the 660 kHz obtained by FEM simulations. Due to squeeze film damping, the quality factor is relatively low (approximately 2-2.5), which is advantageous for reaching high positioning bandwidth when the device is used in a near-field optical imaging microscope.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Shearlet transform based image denoising using histogram thresholding

Shearlet transform based image denoising using histogram thr...

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2016 International conference on Communication systems and Networks, ComNet 2016

作者： Anju, T.S. Nelwin Raj, N.R. Department of ECE Sree Chitra Thirunal College of Engineering Pappanamcode Trivandrum Kerala India

ISBN: (纸本)9781509033492

This paper presents an efficient image denoising method by incorporating shearlet-based histogram thresholding. Nowadays, digital images are used in wide range of applications but most of these images are degraded during transmission and acquisition process. Removal of noise from images is still a challenging task for many researchers because there is always a trade-off between noise removal and fine edge preservation. This paper is based on image denoising using shearlet transform. Shearlets have excellent features for data analysis and processing, which overcomes the limitation of traditional methods. They are optimally sparse and have multi-scale and multi-directional properties which are optimal in representing image containing edges. In this paper, the proposed method is found to produce superior peak signal-To-noise ratio (PSNR) over the conventional denoising algorithms. © 2016 IEEE.

关键词： image denoising

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Text Recognition in Bilingual Machine Printed image Documents-Challenges and Survey 10

Text Recognition in Bilingual Machine Printed Image Document...

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10th International conference on Intelligent systems and Control (ISCO)

作者： Puri, Shalini Singh, Satya Prakash Birla Inst Technol Dept Comp Sci Ranchi Bihar India

ISBN: (纸本)9781467378079

In this digital world, accurate text identification and recognition has become an important key area of image document analysis and processing. Textual data, ranging from simple to complex images along with language variations - mono, bi, tri or multilingual scripts, is identified and extracted. This paper is designed to focus the challenges and complex issues of text recognition in bilingual machine printed imaged documents. Major crucial factors are discovered and mentioned which become the bottlenecks in correct and accurate recognition. With this, a hierarchical structure depicting three Classification Schemes (CS) A, B and C of bilingual printed imaged document is shown, where A, B and C are related to the content form, image mining and language or script determination. Some loopholes of OCR working are also discussed. To analyze the existing algorithms and methods, a survey is presented to focus on their critical issues, proposed solutions along with constraints and errors found during text processing. It leads to find out the shortcomings and limitations of different methods. Various specifications and factors found from the techniques are also shown as their characteristics and are compared relatively to distinguish them. It is observed that most of the existing methods are based on the classification schemes CS A-Al and C-Cl and C2 and are designed for the script identification with 300 dpi gray scale image using SVM classifier.

关键词： bilingual printed images crucial issues challenges distinguishing features specifications comparison script and character recognition

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Parallel implementations of parametric identification algorithms for three-dimensional crystal lattices

Parallel implementations of parametric identification algori...

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2016 International conference Information Technology and Nanotechnology, ITNT 2016

作者： Kirsh, D.V. Kupriyanov, A.V. Image Processing Systems Institute Branch of the Federal Scientific Research Centre Crystallography and Photonics Russian Academy of Sciences Samara Russia Samara National Research University Samara Russia

The article describes parallel implementations of two parametric identification algorithms. The first algorithm is based on the estimation of Bravais unit cell parameters, and the second one estimates Wigner-Seitz cell volumes. The developed parallel implementations are based on the two-tier model of concurrency. An external tier of concurrency uses Message Passing Interface (MPI) technique to distribute parametric identification tasks between computing nodes. An internal tier uses Open Multi-processing (OpenMP) technique to split single steps of the parametric identification algorithms into independent subtasks. Experimental results on multi-processor/multi-core systems have demonstrated almost linear speedup of the parallel implementations, confirmed the effectiveness of the two-tier concurrency model and proved the stability of the identification approach under lattice distortion.

关键词： Crystal lattices

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Advances in Artificial Intelligence and Its Applications: 14th Mexican International conference on Artificial Intelligence, MICAI 2015

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2016年

作者： Obdulia Pichardo Lagunas Oscar Herrera Alcéntara Gustavo Arroyo Figueroa

ISBN: (纸本)9783319271002

The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca,. Morelos, Mexico, in October *** total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications.

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Video Frame Extraction for 3D Reconstruction 8

Video Frame Extraction for 3D Reconstruction

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8th Computer Science and Electronic Engineering (CEEC)

作者： Clift, Louis G. Clark, Adrian F. Univ Essex Sch Comp Sci & Elect Engn Colchester Essex England

ISBN: (纸本)9781509020508

This paper addresses the problem of using live and pre-recorded video sources in 3D reconstruction systems. Typical photogrammetry packages use images generated from digital photography cameras such as DSLRs. 3D reconstruction algorithms require the intrinsic information to be stored in the EXIF header of a digital photograph. Live video systems don't store this information and more importantly don't produce a concise sequence of distinct frames. This paper presents an approach to using both live and pre-recorded video sources with 3D Structure from Motion systems through the implementation of a pre-processor. This approach filters the video feed with the aid of the Laplacian operator and feature-based methods to create an optimal sequence for both on-line and off-line 3D reconstruction systems.

关键词： image processing video filtering 3D reconstruction

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Medical image segmentation using object shape models: A critical review on recent trends, and alternative directions 5th

Medical image segmentation using object shape models: A crit...

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5th Eccomas Thematic conference on Computational Vision and Medical image processing, Vipimage 2015

作者： Falcão, Alexandre Xavier Spina, Thiago Vallin Martins, Samuel Botter Phellan, Renzo Institute of Computing University of Campinas Campinas Brazil Eldorado Research Institute Campinas Brazil

ISBN: (纸本)9781138029262

Segmentation is important to define the spatial extension of body anatomic structures (objects) in medical images for quantitative analysis. In this context, it is desirable to eliminate (at least minimize) user interaction. This aim is feasible by combining object delineation algorithms with Object Shape Models (OSMs). While the former can better capture the actual shape of the object in the image, the latter provides shape constraints to assist its location and delineation. We review two important classes of OSMs for medical image segmentation: Statistical (SOSMs) and Fuzzy (FOSMs). SOSMs rely on the image mapping onto a reference coordinate system, which indicates the probability of each voxel to be in the object (a probabilistic atlas built from a set of training images and their segmentation masks). Imperfect mappings due to shape and texture variations asks for object delineation algorithms, but the methods usually assume that the atlas is at the best position for delineation. Multiple atlases per object can mitigate the problem and a recent trend is to use each training mask as an individual atlas. By mapping them onto the coordinate system of a new image, object delineation can be accomplished by label fusion. However, the processing time for deformable registration is critical to make SOSMs suitable for large scale studies. FOSMs appear as a recent alternative to avoid reference systems (deformable registration) by translating the training masks to a common reference point for model construction. This relaxes the shape constraints, but asks for a more effective object delineation algorithm and some efficient approach for object’s location. One of the solutions, named optimum object search, translates the model inside an estimated search region in the image while a criterion function guides translation and determines the best delineated object among candidates. This makes segmentation with FOSMs considerably faster than with SOSMs, but SOSMs that adopt the o

关键词： Mapping

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Nonlinear SVD-filtering Of Digital images In Infocommunication systems

Nonlinear SVD-filtering Of Digital Images In Infocommunicati...

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10th IEEE International Scientific and Technical conference on Dynamics of systems, Mechanisms and Machines (Dynamics)

作者： Sazonov, V. V. Shcherbakov, M. A. Vasil'ev, V. A. Penza State Univ Dept Automat & Remote Control Penza Russia

ISBN: (纸本)9781509040490

Feature of modern infocommunication systems is expeditious exchange of information that makes a problem of ensuring quality and reliability of the obtained information actual. For elimination or minimization of the destabilizing impact of noise and hindrances in such systems various methods and algorithms of preliminary information processing are widely used, in particular, procedures of digital filtration of signals and images. Procedure of creation of the nonlinear SVD filter with adaptation to local properties of an observed signal is stated. Comparative examples of filtration of hindrances in a problem of processing of images are given, efficiency of the offered method is shown. The lines of further researches are defined.

关键词： Nonlinear filtering digital image processing Wiener-Kolmogorov filter singular value decomposition of matrices approximation of matrixes

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The efficiency and performance detection algorithm and system development for photovoltaic system through use of thermal image processing technology

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AIP conference Proceedings 2018年第1期1978卷

作者： Jwujenq Chen Chialiang Lin Chenglian Liu 1Department of Computer Science and Information Engineering Chang Jung Christian University Tainan 71101 Taiwan 2School of Creative and Design Shanghai Industry and Commerce Foreign Language College Shanghai 201399 China 4Department of Computer Aided Media Design Chang Jung Christian University Tainan 71107 Taiwan 3Department of Computer Science and Technology Neusoft Institute Guangdong Guangdong 528225 China

In recent years, solar energy has become more and more popular because it is one of the renewable energy resources that are constantly replenished and will never run out. Nowadays, there are many solar panels that have been installed on the roof of residence in Taiwan. However, it does not have many convenient, secure and affordable methods to detect the effectiveness of those roof-top photovoltaic systems. Therefore, this study not only proposes the algorithms for determining the effectiveness of solar panel by using the thermal sensor, but also constructs a system to analysis the pictures that taken from thermal sensor and report the condition of solar panel automatically. Finally, we will live in a better environment by using the solar energy and the detection system with algorithms this study proposed at same time.

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An Extensible Local Surface Descriptor for 3D Object Recognition

An Extensible Local Surface Descriptor for 3D Object Recogni...

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IEEE International conference on Cyber Technology in Automation, Control, and Intelligent systems

作者： Rongrong Lu Feng Zhu Yingming Hao Huiying Cai Qingxiao Wu Key Laboratory of Opto-Electronic Information Processing CAS Shenyang

ISBN: (纸本)9781538604915

This paper presents a novel local surface descriptor by encoding the neighboring points' position angles of a key point into a histogram. The generation of the feature descriptor is simple and efficient. Firstly, we construct a Local Reference Frame (LRF) by performing eigenvalue decomposition on a scatter covariance matrix. Then, the sphere support of the key point is divided into several sphere shells. In each sphere shell, we calculate the angles between a neighboring point and z-axis, x-axis respectively. Subsequently, the cosine values of these two angles are mapped into two 1D histograms respectively. Finally, all the 1D histograms are put together followed by a normalization to form the descriptor. Our proposed local surface descriptor is called Signature of Position Angles Histograms (SPAH). As for a point cloud with color information, the SPAH can easily be extended to a Color SPAH (CSPAH) descriptor only by adding one more 1D histogram generated by the color information in each sphere shell. The performance of the proposed SPAH was tested on the Bologna Dataset 1 to compare with several state-of-the-art feature descriptors. The experiment results show that our SPAH descriptor is more robust to noise and vary mesh decimations. Moreover, our SPAH and CSPAH descriptors based 3D object recognition algorithms achieved a good performance on the Bologna Dataset 3.

关键词： Three-dimensional displays Histograms image color analysis Object recognition Feature extraction Robustness Colored noise

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