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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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SAR image De-noising Based on Generalized Non-local Means in Non-subsample Shearlet Domain 1

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4th International conference on Communications, Signal processing, and systems (CSPS)

作者： Liu Shuaiqi Geng Peng Shi Mingzhu Fang Jing Hu Shaohai Hebei Univ Coll Elect & Informat Engn Baoding Hebei Peoples R China Key Lab Digital Med Engn Hebei Prov Baoding Hebei Peoples R China Shijiazhuang Tiedao Univ Sch Informat Sci & Technol Shijiazhuang Hebei Peoples R China Tianjin Normal Univ Coll Elect & Commun Engn Tianjin Peoples R China Beijing Jiaotong Univ Inst Informat Sci Beijing Peoples R China

ISBN: (数字)9783662498316

ISBN: (纸本)9783662498316;9783662498293

How to suppress and remove the speckle of SAR image has been a hot research issue. Combining the advantages of non-subsample Shearlet transform (NSST) with the generalized non-local means de-noising algorithm, we proposed a new SAR image de-noising algorithm in this paper. This algorithm is appropriate for the characteristics of the speckle noise, so it can improve the quality of de-noised image. Meanwhile, the algorithm holds the characteristics of translational invariance, which can suppress Gibbs phenomenon effectively.

关键词： image denoising algorithms Radar polarimetry Rescue Synthetic aperture radar Specific absorption rate SAFETY ANALYSIS REPORTS Gibbs phenomenon speckle noise Speckle image noise

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Destriping Ocean Color Monitor-2 Data 4

Destriping Ocean Color Monitor-2 Data

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conference on Earth Observing Missions and Sensors - Development, Implementation, and Characterization iv

作者： Singh, Rakesh Kumar Shanmugam, Palanisamy Indian Inst Technol Dept Ocean Engn Ocean Opt & Imaging Lab Madras 600036 Tamil Nadu India

ISBN: (纸本)9781510601222

Ocean Color Monitor-2 (OCM-2) on-board Oceansat 2 satellite is a multi-spectral sensor with a spatial resolution of 360x250m. Despite the presence of improved spatial resolution for better ocean color interpretation within coastal zones;differences among the OCM-2 detectors lead to striping artifacts in the along-track direction limiting the ocean color observations. Existing calibration methods do not characterize the striping noise efficiently. Destriping algorithms are generally applied to Level 2 radiance or biogeochemical products (i.e., post-radiometric and atmospheric correction), to remove the striping artifacts in order to ensure quality products. The present study focuses to reveal a robust method which effectively removes the striping effects in the TOA radiance products. Preliminary results obtained from this approach have been highlighted which show significant improvement in image quality for Level 1B (TOA radiance) and Level 2 (Water leaving radiance (L-w) and biogeochemical) products. The proposed method operates on a pixel by pixel basis with an aim to maintain the spatial and spectral resolution of data and ensure image quality in the derived products.

关键词： Destriping Ocean Color Vicarious Calibration Satellite image processing Remote Sensing

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EFFECT OF AFT ROTOR ON THE INTER-ROTOR FLOW OF AN OPEN ROTOR PROPULSION SYSTEM

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ASME Turbo Expo: Turbine Technical conference and Exposition

作者： Slaboch, Paul E. Stephens, David B. Van Zante, Dale E. St Martins Univ Lacey WA 98503 USA NASA Glenn Res Ctr Cleveland OH USA

ISBN: (纸本)9780791849682

The effects of the aft rotor on the inter-rotor flow field of an open rotor propulsion rig were examined. A Particle image Velocimetry (Piv) dataset that was acquired phase locked to the front rotor position has been phase averaged based on the relative phase angle between the forward and aft rotors. The aft rotor phase was determined by feature tracking in raw Piv images through an image processing algorithm. The effects of the aft rotor potential field on the inter-rotor flow were analyzed and shown to be in reasonably good agreement with Computational Fluid Dynamics (CFD) simulations. The aft rotor position was shown to have a significant upstream effect, with implications for front rotor interaction noise. It was found that the aft rotor had no substantial effect on the position of the forward rotor tip vortex but did have a small effect on the circulation strength of the vortex when the rotors were highly loaded.

关键词： Rotors Propulsion systems Flow (Dynamics) image processing Engineering simulation Propulsion Simulation Particulate matter Noise (Sound) Computational fluid dynamics algorithms Vortices Wake turbulence

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Deep Belief Network Based Part-of-Speech Tagger for Telugu Language 2nd

Deep Belief Network Based Part-of-Speech Tagger for Telugu L...

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2nd International conference on Computer and Communication Technologies

作者： Jagadeesh, M. Kumar, M. Anand Soman, K. P. Atlas Healthcare Software India Pvt Coimbatore Tamil Nadu India Amrita Vishwa Vidyapeetham Ctr Excellence Computat Engn & Networking Coimbatore Tamil Nadu India

ISBN: (纸本)9788132225263;9788132225256

Indian languages have very less linguistic resources, though they have a large speaker base. They are very rich in morphology, making it very difficult to do sequential tagging or any type of language analysis. In natural language processing, parts-of-speech (POS) tagging is the basic tool with which it is possible to extract terminology using linguistic patterns. The main aim of this research is to do sequential tagging for Indian languages based on the unsupervised features and distributional information of a word with its neighboring words. The results of the machine learning algorithms depend on the data representation. Not all the data contribute to creation of the model, leading a few in vain and it depends on the descriptive factors of data disparity. Data representations are designed by using domain-specific knowledge but the aim of Artificial Intelligence is to reduce these domain-dependent representations, so that it can be applied to the domains which are new to one. Recently, deep learning algorithms have acquired a substantial interest in reducing the dimension of features or extracting the latent features. Recent development and applications of deep learning algorithms are giving impressive results in several areas mostly in image and text applications.

关键词： Natural language processing Deep belief networks Restricted Boltzmann machine Neural networks POS tagging

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AprilTag 2: Efficient and robust fiducial detection

AprilTag 2: Efficient and robust fiducial detection

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IEEE/RSJ International conference on Intelligent Robots and systems (IROS)

作者： Wang, John Olson, Edwin Univ Michigan Dept Comp Sci & Engn Ann Arbor MI 48109 USA

ISBN: (纸本)9781509037629

AprilTags and other passive fiducial markers require specialized algorithms to detect markers among other features in a natural scene. The vision processing steps generally dominate the computation time of a tag detection pipeline, so even small improvements in marker detection can translate to a faster tag detection system. We incorporated lessons learned from implementing and supporting the AprilTag system into this improved system. This work describes AprilTag 2, a completely redesigned tag detector that improves robustness and efficiency compared to the original AprilTag system. The tag coding scheme is unchanged, retaining the same robustness to false positives inherent to the coding system. The new detector improves performance with higher detection rates, fewer false positives, and lower computational time. Improved performance on small images allows the use of decimated input images, resulting in dramatic gains in detection speed.

关键词： image enhancement

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Polynomial feature engineering for classification of textural images

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Journal of Physics: conference Series 2018年第1期1096卷

作者： A V Gaidel Samara National Research University Moskovskoe Shosse 34 Samara Russia 443086 Image Processing Systems Institute - Branch of the Federal Scientific Research Centre 'Crystallography and Photonics' of Russian Academy of Sciences Molodogvardeyskaya str. 151 Samara Russia 443001

I consider a number of methods of automatic quadratic features adjustment for digital textural images of biological tissues in order to improve the quality of classification. The proposed approaches are based on optimization procedures that use various quality criteria of a feature space as target functions. I investigate the methods based on random search, genetic algorithm, simulation of annealing, as well as the original hybrid algorithm. I presented results of experimental studies of the proposed algorithms on sets of real X-ray images of bone tissue and the lung CT images. We show that the hybrid algorithm provides more stable results regardless of the chosen quality criterion of the feature space, which is expressed in decreasing of the average percentage of incorrectly recognized images in comparison with the use of the specific optimization methods individually.

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An Improved Method for Visibility Enhancement of Foggy images

An Improved Method for Visibility Enhancement of Foggy Image...

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International conference on Emerging Trends in Electrical Electronics & Sustainable Energy systems (ICETEESES)

作者： Pal, Narendra Singh Lal, Shyam Shinghal, Kshitij Moradabad Inst Technol Dept E&C Engn Moradabad UP India Dr APJ Abdul Kalam Tech Univ Lucknow Uttar Pradesh India Natl Inst Technol Karnataka Dept E&C Engn Mangaluru KA India

ISBN: (纸本)9781509021185

An improved method for visibility enhancement of foggy based degraded images is presented. Proposed technique consists of two phases: firstly applied the visibility enhancement algorithm and then automatic color enhancement algorithm. Quantitative metric and qualitative result of proposed technique is evaluated and compared with other existing visibility restoration algorithms. In this paper quantitative results are presented in terms of measure of enhancement and measure of enhancement factor. Simulation results on foggy images from database demonstrates that proposed technique provides better visibility enhancement results as compared to the others existing visibility enhancement algorithms. A result reveals that proposed technique is an efficient method for visibility enhancement of foggy based degraded images.

关键词： Visibility Enhancement Color Enhancement image processing Enhancement Factor

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Local motion compensation in image sequences degraded by atmospheric turbulence: a comparative analysis of optical flow vs. block matching methods 19

Local motion compensation in image sequences degraded by atm...

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conference on Optics in Atmospheric Propagation and Adaptive systems XIX

作者： Huebner, Claudia S. Fraunhofer IOSB Gutleuthausstr 1 D-76275 Ettlingen Germany

ISBN: (数字)9781510604094

ISBN: (纸本)9781510604087;9781510604094

As a consequence of fluctuations in the index of refraction of the air, atmospheric turbulence causes scintillation, spatial and temporal blurring as well as global and local image motion creating geometric distortions. To mitigate these effects many different methods have been proposed. Global as well as local motion compensation in some form or other constitutes an integral part of many software-based approaches. For the estimation of motion vectors between consecutive frames simple methods like block matching are preferable to more complex algorithms like optical flow, at least when challenged with near real-time requirements. However, the processing power of commercially available computers continues to increase rapidly and the more powerful optical flow methods have the potential to outperform standard block matching methods. Therefore, in this paper three standard optical flow algorithms, namely Horn-Schunck (HS), Lucas-Kanade (LK) and Farneback (FB), are tested for their suitability to be employed for local motion compensation as part of a turbulence mitigation system. Their qualitative performance is evaluated and compared with that of three standard block matching methods, namely Exhaustive Search (ES), Adaptive Rood Pattern Search (ARPS) and Correlation based Search (CS).

关键词： atmospheric turbulence turbulence mitigation optical flow block matching motion estimation local motion compensation image restoration

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