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Efficient polarization direction measurement by utilizing the polarization axis finder and digital image processing

OPTICS LETTERS 2018年第12期43卷 2969-2972页

作者： Lei, Bing Liu, Shugang Natl Univ Def Technol Coll Adv Interdisciplinary Studies Changsha 410073 Hunan Peoples R China Heilongjiang Univ Coll Elect Engn Harbin 150080 Heilongjiang Peoples R China

We report a new quantitative measurement method of polarization direction based on the polarization axis finder (PAF) and digital image processing. The PAF acts as an azimuthal analyzer to determine the polarization direction of linearly polarized light and form an "hourglass" intensity pattern, and a digital camera is employed to record the pattern, and then the lightwave's polarization direction is obtained accurately by analyzing the pattern with a specially designed digital image processing algorithm. The quantitative measuring experiments have been carried out by validating the standard quartz plates with known rotation angles, and the measurement accuracy has reached 0.01 degrees. (C) 2018 Optical Society of America

关键词： Digital filtering Digital image processing image processing image processing algorithms Light fields Polarized light

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image processing Technology of Flaws within Infrared Transmitting Glasses

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Journal of Wuhan University of Technology(Materials Science) 2012年第6期27卷 1180-1183页

作者：钟忺 YUAN Jingling 陶海征 LIU Yonghua ZU Chengkui School of Computer Science and Technology Huazhong University of Science and&Technology State Key Laboratory of Silicate Materials for Architectures Wuhan University of Technology Institute of Quaru and Special Glasses China Building Materials AcademyBeijing 100024China

We investigated image processing algorithms of the original infrared glass flaw image. Using the Laplacian edge enhancement following LSD （Line Segment Detector） algorithm, we can get a good flaw image very consistent with the original one. This study is very helpful to further enhance the infrared glass flaw inspection technique.

关键词： infrared transmitting materials image processing algorithms flaw image

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An image processing-Based Method to Assess the Monthly Energetic Complementarity of Solar and Wind Energy in Colombia

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ENERGIES 2020年第5期13卷 1033-1033页

作者： Pena Gallardo, Rafael Ospino Castro, Adalberto Medina Rios, Aurelio Univ Autonoma San Luis Potosi Fac Ingn San Luis Potosi 78290 San Luis Potosi Mexico Univ Costa Dept Energia Barranquilla 080002 Colombia Univ Michoacana Fac Ingn Elect Morelia 58030 Michoacan Mexico

Solar and wind energy systems, without storage, cannot satisfy variable load demands, but their combined use can help to solve the problem of the balance between generation and consumption. Energetic complementarity studies are useful to evaluate the viability of the use of two or more renewable energy sources with high variability in a specific interval of time in a determined region. In this paper, the monthly energetic complementarity study of solar and wind resources of Colombia is carried out. A novel approach to conduct the study is proposed. A dataset with the average monthly solar radiation and wind speed values is obtained from high-resolution images of renewable resources maps, using image processing algorithms. Then, the dataset is used to calculate the energetic complementarity of the sources employing the negative of the Pearson correlation coefficient. The obtained values are transformed to energetic complementarity maps, previously eliminating the protected areas. The obtained results show that there is a good energetic complementarity in the north and northeastern regions of the country throughout the year. The results indicate that projects related to the joint use of solar and wind generation systems could be developed in these regions.

关键词： energetic complementarity image processing algorithms resource maps solar energy wind energy

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Recognition of Chiral Vector Angle of Individual Single-Walled Carbon Nanotubes by image processing Techniques

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JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE 2009年第5期6卷 1008-1012页

作者： Wang, Maofa Zou, Xiaoping Cheng, Jin Zhu, Guang Su, Yi Beijing Informat Sci & Technol Univ Res Ctr Sensor Technol Beijing 100101 Peoples R China Beijing Key Lab Sensor Beijing 100101 Peoples R China Educ Minist Key Lab Modern Measurement & Control Beijing 100101 Peoples R China

It is important and intresting thing to recognize the chiral vector angle of individual single-walled carbon nanotubes by processing original STM images, which is usefull to automatically calculate chiral vector indices (n, m) during in-situ STM scanning of the analyzed object later. In this paper, we report some digital image processing algorithms application on the recognition of the chiral vector angle of SWCNTs. At last, we also write the correlative software with c++ codes, which applying the digital image processing algorithms. And from the result of processing a classic STM image of SWCNTs, we can clearly see graphite hexagon structure and give the chiral vector of the tube.

关键词： Single-Walled Carbon Nanotube Atomic Structure of Tube Lattice image processing algorithms

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Real-time image edge enhancement with a spiral phase filter and graphic processing unit

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APPLIED OPTICS 2014年第19期53卷 4297-4300页

作者： Zhong, Zhi Gao, Pengjun Shan, Mingguang Wang, Ying Zhang, Yabin Harbin Engn Univ Coll Informat & Commun Engn Harbin 150001 Heilongjiang Peoples R China

Isotropic image edge enhancement with high contrast can be achieved using a spiral phase filter (SPF) in a 4f optical system. However, real-time application of edge enhancement with SPF has generally been limited due to the requirement of coherent light or complex phase-shifting operation. In this paper, we demonstrate a real-time image edge enhancement method using a SPF and a graphic processing unit (GPU). By implementing the process of virtual spiral phase filtering on GPU, we are able to speed up the whole procedure by more than 8.3x with respect to CPU processing, and ultimately achieve video rate for megapixel images. In particular, our implementation can achieve higher speedup for more multiple images. These developments are increasing the potential for image edge enhancement of moving objects. (C) 2014 Optical Society of America

关键词： image processing image processing algorithms image sharpening Spatial light modulators Spiral phase Wavelets

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PARTICLE TRACKING VELOCIMETRY - AN AUTOMATIC image-processing ALGORITHM

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APPLIED OPTICS 1989年第20期28卷 4328-4332页

作者： KHALIGHI, B LEE, YH GM CORP DEPT ENGINE RESWARRENMI 48090 GM CORP DEPT INSTRUMENTATWARRENMI 48090

A quantitative full-field velocity measurement technique involving imaging of displaced particles in a fluid is described. In this paper a fully automatic image processing procedure is developed to extract velocity vectors from flow visualization images. Flow visualization images are generated using special illumination coding which allows determination of both velocity magnitude and direction. The utility of this technique for detecting well-defined flow structures in a flow is demonstrated.

关键词： image analysis image processing image processing algorithms image storage Laser displays Velocimetry

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STATISTICAL-MODELS OF A-PRIORI INFORMATION FOR image-processing - NEIGHBORING CORRELATION CONSTRAINTS

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JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS image SCIENCE AND VISION 1988年第12期5卷 2026-2031页

作者： LIANG, Z []Department of Radiology Nuclear Medicine Division Duke University Medical Center Durham North Carolina 27710

A probabilistic formulation of statistical models of a priori source distribution information is presented in terms of global and local correlations of source element strengths. A Bayesian analysis considering both the a priori source distribution probabilistic models and the Poisson statistics of photon detection fluctuations is studied. The Bayesian solution determined by a system of equations that maximizes the a posteriori probability, given the measured data, is presented. A Bayesian image-processing algorithm that obtains the solution iteratively is derived by using an expectation-maximization technique. The iterative Bayesian algorithm is applied to computer-generated ideal data and to experimental phantom imaging data containing Poisson noise. Improvement in image processing with the Bayesian algorithm is demonstrated by comparing the processed images and the convergence performances of objective evaluation test functions obtained by using the Bayesian algorithm with those obtained by using the standard maximum-likelihood algorithm.

关键词： algorithms image processing image processing algorithms Imaging techniques Medical imaging Tomography

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COMPARISON OF ARTIFICIAL NEURAL NETWORKS WITH PATTERN-RECOGNITION AND image-processing

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APPLIED OPTICS 1989年第2期28卷 302-305页

作者： JAU, JY FAINMAN, Y LEE, SH []The authors are with University of California San Diego Department of Electrical Computer Engineering La Jolla California 92093.

This paper presents a comparison between the field of artificial neural network and the field of image processing and pattern recognition. It shows that some of the adaptive processing algorithms for pattern recognition and image processing, in terms of neural networks, can be seen as adaptive heteroassociative and autoassociative memories, respectively. The similarities and differences between these two fields are addressed.

关键词： image processing image processing algorithms image recognition algorithms image restoration Neural networks Pattern recognition

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Improving night sky star image processing algorithm for star sensors

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JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS image SCIENCE AND VISION 2014年第4期31卷 794-801页

作者： Arbabmir, Mohammad Vali Mohammadi, Seyyed Mohammad Salahshour, Sadegh Somayehee, Farshad Amirkabir Univ Technol Tehran Iran Shiraz Univ Technol Shiraz Iran Khaje Nasir Toosi Univ Technol Tehran Iran

In this paper, the night sky star image processing algorithm, consisting of image preprocessing, star pattern recognition, and centroiding steps, is improved. It is shown that the proposed noise reduction approach can preserve more necessary information than other frequently used approaches. It is also shown that the proposed thresholding method unlike commonly used techniques can properly perform image binarization, especially in images with uneven illumination. Moreover, the higher performance rate and lower average centroiding estimation error of near 0.045 for 400 simulated images compared to other algorithms show the high capability of the proposed night sky star image processing algorithm. (c) 2014 Optical Society of America

关键词： image metrics image processing image processing algorithms Low light levels Noise reduction Pattern recognition

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A New FPGA-based Real-Time Configurable System for Medical image processing

A New FPGA-based Real-Time Configurable System for Medical I...

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4th IEEE International Conference on E-Health and Bioengineering (EHB)

作者： Chiuchisan, Iuliana Stefan Cel Mare Univ Suceava Suceava Romania

ISBN: (纸本)9781479923724

Given the importance of digital image processing and the significance of their implementations on hardware to achieve better performance, this paper reviews the advantages of using FPGA over softwares and DSPs as a platform for implementation of digital image processing applications. This work presents a hardware implementation of a FPGA-based real-time configurable system consisting of image processing low-level operators such as, contrast adjustment, brightness adjustment, inverting an image and pseudo-color operation. The paper presents a Verilog description of a real-time configurable system for digital image processing and focuses on medical images enhancement using this system. The solution provides an innovative hardware implementation and simulation, followed by immediate synthesis on FPGA.

关键词： digital image processing Verilog HDL reconfigurable hardware image processing algorithms real-time configurable system for digital image processing

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