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NASA Technical Reports Server (Ntrs) 20150004128: Vision Algorithm for the Solar Aspect System of the Heroes Mission

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2016年

NASA Technical Reports Server (Ntrs) 20150004128: Vision Algorithm for the Solar Aspect System of the Heroes Mission by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by

关键词： (ntrs) 20150004128: algorithm algorithms aspect balloon-borne instruments christe, steven circles (geometry) computer vision cramer, alexander detection geometric accuracy heroes image processing nasa technical reports server (ntrs) pattern registration performance tests pitch (inclination) pointing control systems shih, albert solar system sun x ray telescopes yaw

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Marine Vessel Detection Comparing GPRS and Satellite images for Security Applications

Marine Vessel Detection Comparing GPRS and Satellite Images ...

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IEEE International Conference on Wireless Communications, Signal processing and Networking (WiSPNET)

作者： Amabdiyil, Sajan Thomas, Dintu Pillai, V. P. Mahadevan Ctr Dev Imaging Technol Opt Image Proc & Secur Prod Thiruvanthapuram 695027 Kerala India SCMS Sch Engn & Technol Dept Commun Engn Ernakulum Kerala India Univ Kerala Dept Optoelect Thinivanthapuram 69558 Kerala India

ISBN: (纸本)9781467393379

Unauthorized and unregistered sea going fishing vessels are being used for criminal activities in the coastal areas. The issue of piracy against merchant ships using illegal fishing vessels poses a significant threat to world shipping. Unfortunately counter piracy efforts and maritime security of our own and other nation enforcement often affects the innocent fishermen who conduct the trans-border fishing. Hence a proper vessel monitoring system is required to protect the maritime security without tampering the routine fishing activity of the sea going fishermen. This paper discusses about the feasibility of a system for the detection of registered marine fishing vessels comparing the satellite images and GPRS signal information. A review on various algorithms for identifying marine boats from satellite images is also conducted in this paper.

关键词： Vessel Monitoring systems Satellite images GPRS Trans-border fishing

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Automatic 3D pulmonary nodule detection in CT images: A survey

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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2016年 124卷 91-107页

作者： Valente, Igor Rafael S. Cortez, Paulo Cesar Cavalcanti Neto, Edson Soares, Jose Marques de Albuquerque, Victor Hugo C. Tavares, Joao Manuel R. S. Inst Fed Ceara Campus MaracanauAv Parque Cent S-NDist Ind 1 BR-61939140 Maracanau Ceara Brazil Univ Fed Ceara Dept Engn Teleinformat Av Mister Hull S-NCampus Pici 6005 BR-60455760 Fortaleza Ceara Brazil Univ Fortaleza Programa Posgrad Informat Aplicada Av Washington Soares 1321Edson Queiroz 60811341 BR-60811341 Fortaleza Ceara Brazil Univ Porto Inst Ciencia & Inovacao Engn Mecan & Engn Ind Dept Engn Mecan Fac Engn Rua Dr Roberto Frias S-N P-4200465 Oporto Portugal

This work presents a systematic review of techniques for the 3D automatic detection of pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze the latest technology being used for the development of computational diagnostic tools to assist in the acquisition, storage and, mainly, processing and analysis of the biomedical data. Also, this work identifies the progress made, so far, evaluates the challenges to be overcome and provides an analysis of future prospects. As far as the authors know, this is the first time that a review is devoted exclusively to automated 3D techniques for the detection of pulmonary nodules from lung CT images, which makes this work of noteworthy value. The research covered the published works in the Web of Science, PubMed, Science Direct and IEEEXplore up to December 2014. Each work found that referred to automated 3D segmentation of the lungs was individually analyzed to identify its objective, methodology and results. Based on the analysis of the selected works, several studies were seen to be useful for the construction of medical diagnostic aid tools. However, there are certain aspects that still require attention such as increasing algorithm sensitivity, reducing the number of false positives, improving and optimizing the algorithm detection of different kinds of nodules with different sizes and shapes and, finally, the ability to integrate with the Electronic Medical Record systems and Picture Archiving and Communication systems. Based on this analysis, we can say that further research is needed to develop current techniques and that new algorithms are needed to overcome the identified drawbacks. (C) 2015 Elsevier Ireland Ltd. All rights reserved.

关键词： 3D image segmentation Computer-aided detection systems Lung cancer Pulmonary nodules Medical image analysis

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Dynamic Street-Parking Optimisation 30

Dynamic Street-Parking Optimisation

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IEEE 30th International Conference on Advanced Information Networking and Applications (IEEE AINA)

作者： Pazos, N. Mueller, M. Favre-Bulle, M. Brandt-Dit-Grieurin, K. Husser, O. Aeberli, M. Ouerhani, N. Appl Sci Univ Western Switzerland HES SO HE Arc Engn Sch Geneva Switzerland

ISBN: (纸本)9781509018574

An instrument to improve the quality of life in large cities, helping to reduce the car traffic, is presented in this paper. It will result in a mobile guidance software that will help the drivers looking for a parking place to find it efficiently. SmartPark relies on available parking information systems, as well as on new sensors or even on social data inputs. A fixed magnetic on-street sensor and a video processing smart camera have been developed and prototypes of both devices were tested. Their data is available through a cloud-based Internet of Things infrastructure and continuously updated every few seconds. Databases will be built over time enabling data mining methods to infer parking availability models over time which will be used, eventually, by the algorithms feeding the mobile application.

关键词： Smart cities Internet of Things image processing Smart parking Incremental algorithm

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Estimation of Measurement of Distance to the Object by Analyzing the Blur of Its image Series

Estimation of Measurement of Distance to the Object by Analy...

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International Siberian Conference on Control and Communications (SIBCON)

作者： Loktev, Daniil A. Loktev, Alexey A. Bauman Moscow State Tech Univ Dept Informat Syst & Telecommun Moscow Russia Moscow State Univ Railway Engn Dept Transport Construct Moscow Russia

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

关键词： image blur video monitoring system method of least squares method of least modules object geometric parameters Bayesian estimation loss function distribution function of errors

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Hyperspectral image analysis of Raman maps of plant cell walls for blind spectra characterization by nonnegative matrix factorization algorithm

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CHEMOMETRICS AND INTELLIGENT LABORATORY systems 2016年 151卷 136-145页

作者： Szymanska-Chargot, Monika Pieczywek, Piotr M. Chylinska, Monika Zdunek, Artur Polish Acad Sci Inst Agrophys Doswiadczalna 4 PL-20290 Lublin 27 Poland

The aim of this contribution was to develop methods of Raman spectral data analysis with respect to its spatial distribution, produced by a signal deriving complex biological substance. A novel approach based on nonnegative matrix factorization (NMF) combined with the clustering algorithms was introduced for analysis of plant tissue chemical composition. The multivariate approach was tested on the Raman maps of two different tissues of carrot root (Daucus carota L. subsp. Sativus) - xylem and cambium were captured and analyzed. The initial step of analysis involved pre-processing of individual spectra on two interconnected information levels spatial and spectral. The proposed approach allowed successful removal of unwanted and corrupted sections of data and replace it with new interpolated values using the nearest neighborhood. The NMF algorithm was tested on refined experimental datasets and showed great performance at reducing the dimensionality of large quantities of spectral information. It also allowed to obtain the pure spectra of individual data components and their concentration profiles which were easily interpretable and had high resemblance to the original data. The output of the NMF analysis was used as a starting point for two clustering algorithms k-means clustering and hierarchical clustering methods. Both methods converged with similar results providing precise spatial separation of spectral data according to the most predominant component (pectins, cellulose and lignins) in specific area of studied tissues. Obtained clusters distribution showed good match not only with chemical component distribution but also with structural features of tissue samples. Moreover, the proposed method of Raman images analysis allowed to blind spectral separation resulting in rapid and robust analysis of cell wall chemical composition with respect to its spatial distribution. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Chemometry Raman images Plant cell wall K-means Hierarchical clustering Nonnegative matrix factorization

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Fast eye localization from thermal images using neural networks

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Multimedia Tools and Applications 2016年 1-14页

作者： Marzec, Mariusz Lamża, Aleksander Wróbel, Zygmunt Dziech, Andrzej Department of Computer Biomedical Systems University of Silesia Institute of Computer Science ul. Będzińska 39 Sosnowiec41-200 Poland Faculty of Computer Science Electronics and Telecommunications AGH University of Science and Technology Al. A. Mickiewicza 30 Kraków30-059 Poland

The paper presents a fast algorithm for eye localization from thermal images. Due to blurred edges, lower quality of thermal images compared with visible-light images, the process may be more complicated. On the other hand, it seems relatively easy to designate specific areas of the eyes because of their relatively highest brightness resulting from the highest temperature in these face areas. It turns out, however, that the highest pixel brightness does not always determine unequivocally the position of the eyes. Therefore, the algorithm described here proposes a specialized method for segmentation of images containing eye areas and a specialized classifier. The first part of the algorithm is a block for generating features describing eye areas. The second stage is a decision block built based on a neural network allowing for effective classification of pre-designated areas. A suitable combination of these blocks into a single system allowed for correct analysis of images with rich geometric diversity (scale, position, orientation) and brightness distribution, reaching more than 91 % of correct localizations and time of analysis of a single image of hundredths of a second. algorithms of this type can be used as the initial stages of facial recognition, emotion recognition, quantitative analysis of the face or modern human-computer interfaces. The described algorithm may be used for both conventional thermal images and thermograms (after prior conversion of temperature values into brightness values), which affects its potential application in medicine. The benefits of this study are twofold: fast localization of characteristic points of the eyes and the possibility of processing despite the typical problems of thermovision and image transformations. © 2016 The Author(s)

关键词： image analysis

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On the Significance of Leaf Sides in Automatic Leaf-based Plant Species Identification 36

On the Significance of Leaf Sides in Automatic Leaf-based Pl...

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36th IEEE Central American and Panama Convention (CONCAPAN)

作者： Carranza-Rojas, Jose Mata-Montero, Erick Costa Rica Inst Technol Sch Comp PARMA Grp Cartago Costa Rica

ISBN: (纸本)9781467395786

Because the front side of a leaf and the underside are functionally very different - the former captures sunlight to produce photosynthesis and the latter absorbs carbon dioxide and releases oxygen and vapor - they typically have different visual features. In this paper we study the significance of leaf sides in visual recognition systems for automatic plant species identification. We measure the accuracy of species identifications with a dataset of 63 species of trees from Costa Rica that includes pictures of both, front sides and undersides of tree leaves. The dataset is used as a global dataset and is also partitioned as two datasets: one of front side pictures and one of underside pictures. Training and testing of different algorithms is performed and their accuracies computed for the group of species and for each individual species. For the tested dataset, leaf side is a significant factor for automatic plant species identification. On the average, and for most cases, underside pictures lead to more accurate identifications.

关键词： Biodiversity Informatics Computer Vision image processing Plant Identification

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NASA Technical Reports Server (Ntrs) 19900020475: Force/Torque and Tactile Sensors for Sensor-Based Manipulator Control

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2016年

NASA Technical Reports Server (Ntrs) 19900020475: Force/Torque and Tactile Sensors for Sensor-Based Manipulator Control by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by

关键词： (ntrs) 19900020475: algorithms autonomy bao, chao-ying belieen, h. control control systems design end effectors flexibility force torque image processing manipulator manipulators nasa technical reports server (ntrs) pattern recognition robot arms robot dynamics robot sensors tactile discrimination tactile sensors (robotics) torque torque sensors (robotics) vanbrussel, h.

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Dtic Ada038700: the Automatic Sensing and Analysis of 3-D Surface Points from Visual Scenes

引用

2016年

Dtic Ada038700: the Automatic Sensing and Analysis of 3-D Surface Points from Visual Scenes by Defense Technical Information Center; Defense Technical Information Center; published by

关键词： image processing stereoscopic range finding ada038700: algorithms analog to digital converters analysis automatic computer applications computer graphics computer programs contours data acquisition distance measuring equipment dtic archive fuchs, henry laser beams optical images pattern recognition points robots scenes stereoscopic display systems surfaces three dimensional triangulation utah univ salt lake city school of computing

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