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Relevant bibliographies by topics / Descriptor moment

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Academic literature on the topic 'Descriptor moment'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Descriptor moment"

1

Ye Mei and D. Androutsos. "Robust Affine Invariant Region-Based Shape Descriptors: The ICA Zernike Moment Shape Descriptor and the Whitening Zernike Moment Shape Descriptor." IEEE Signal Processing Letters 16, no. 10 (2009): 877–80. http://dx.doi.org/10.1109/lsp.2009.2026119.

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Bellarbi, Abdelkader, Nadia Zenati, Samir Otmane, and Hayet Belghit. "Learning moment-based fast local binary descriptor." Journal of Electronic Imaging 26, no. 2 (2017): 023006. http://dx.doi.org/10.1117/1.jei.26.2.023006.

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Miciak, Mirosław. "Invariant Radon-Moment Descriptor for Postal Applications." Image Processing & Communications 20, no. 4 (2015): 13–21. http://dx.doi.org/10.1515/ipc-2015-0040.

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Abstract In this article a new solution of handwritten digits recognition system for postal applications is presented. Moreover, in this paper, a new approach of handwritten characters recognition was presented. The implemented algorithm is applied to recognition of postal items on the basis of postcode information. In connection with this article the research was carried with all digit characters used in authentic zip code of various mail pieces. Additionally, the paper contains some preliminary image processing for example normalization of the character. The main objective of this article is

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Wang, Shuenn-Shyang, Po-Cheng Chen, and Wen-Gou Lin. "Invariant pattern recognition by moment fourier descriptor." Pattern Recognition 27, no. 12 (1994): 1735–42. http://dx.doi.org/10.1016/0031-3203(94)90090-6.

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Dinesh Kumar, V. P., and T. Tessamma. "Performance study of an improved Legendre Moment Descriptor as region-based shape descriptor." Pattern Recognition and Image Analysis 18, no. 1 (2008): 23–29. http://dx.doi.org/10.1134/s1054661808010045.

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Wang, Xiao Chun, and Hong Lei Sun. "Shape Classification and Retrieval Based on the V-System." Applied Mechanics and Materials 328 (June 2013): 227–32. http://dx.doi.org/10.4028/www.scientific.net/amm.328.227.

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In this paper, a method for describing 2D shape characteristic is presented. The similarity between any two shapes is measured by the Euclidian distance between their corresponding new shape descriptors. Accordingly, a new classification and retrieval technique is proposed by comparing the similarity between two shapes. To evaluate the proposed method, we applied it on the benchmark data set MPEG-7-PartB for shape classification and retrieval. The results show that the V-descriptor has higher efficiency than Zernike moment, pseudo Zernike moment, the central moment and moment invariants.

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Fan, Xiao Hu, Wei Ting Lin, Juan Cao, Ben Ling Li, and Yan Si. "A Description Method for MSER with SIFT Descriptor." Applied Mechanics and Materials 127 (October 2011): 115–20. http://dx.doi.org/10.4028/www.scientific.net/amm.127.115.

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Maximally Stable Extremal Regions are robust to complex affine distortion and illumination changes between reference image and real-time image. On the basis of deeply research on the SIFT descriptor, this paper propose a description algorithm for MSER using SIFT descriptor. The Second central moment is used in the algorithm to make ellipse adjustment for each irregular MSER. Then a self-adaptable rectangle area, whose side is proportional to the minor axis of the ellipse, is constructed encircling each ellipse centre. Finally, a SIFT feature vector is formed to express the MSER, after processi

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Wang, Wei Zhuo, De Zhi Wang, John E. Mottershead, and George Lampeas. "Identification of Composite Delamination Using the Krawtchouk Moment Descriptor." Key Engineering Materials 569-570 (July 2013): 33–40. http://dx.doi.org/10.4028/www.scientific.net/kem.569-570.33.

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Damage assessment of composite materials is crucial for health monitoring of engineering structures. It is particularly important to detect damage invisible to the human eye caused by low speed impact. Optical non-contact sensing techniques enable full-field measurements from structural responses. However, damage is generally associated with its local effect on deformation and strain patterns while full-field measured data is highly information redundant. It is possible to apply image processing techniques [1, 2] to extract succinct and efficient features, or attributes, from full-field data.

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White, Richard J., Honor C. Prentice, and Theo Verwijst. "Automated image acquisition and morphometric description." Canadian Journal of Botany 66, no. 3 (1988): 450–59. http://dx.doi.org/10.1139/b88-070.

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Manual assembly of large morphometric data sets for investigations in population biology and biosystematics is extremely time consuming. Automated image handling allows rapid and accurate data collection and in addition makes it practicable to uncouple image acquisition and shape description. Variation can be characterized flexibly when these two phases of "scoring" are separated. Different descriptor systems can be used to describe a set of stored outlines, without having to return to the original objects. This paper introduces an integrated automated outline handling system and compares the

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Zhang, Hua-Zhen, Dong-Won Kim, Tae-Koo Kang, and Myo-Taeg Lim. "MIFT: A Moment-Based Local Feature Extraction Algorithm." Applied Sciences 9, no. 7 (2019): 1503. http://dx.doi.org/10.3390/app9071503.

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We propose a local feature descriptor based on moment. Although conventional scale invariant feature transform (SIFT)-based algorithms generally use difference of Gaussian (DoG) for feature extraction, they remain sensitive to more complicated deformations. To solve this problem, we propose MIFT, an invariant feature transform algorithm based on the modified discrete Gaussian-Hermite moment (MDGHM). Taking advantage of MDGHM’s high performance to represent image information, MIFT uses an MDGHM-based pyramid for feature extraction, which can extract more distinctive extrema than the DoG, and MD

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Dissertations / Theses on the topic "Descriptor moment"

1

Cheng, Huaining. "Orthogonal Moment-Based Human Shape Query and Action Recognition from 3D Point Cloud Patches." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1452160221.

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Poleto, Arthur Suzini. "Desenvolvimento de um sistema de visão de máquina para inspeção de conformidade em um produto industrial /." Ilha Solteira, 2019. http://hdl.handle.net/11449/191137.

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Orientador: João Antonio Pereira<br>Resumo: Visão de máquina é um campo multidisciplinar que vem crescendo na indústria, que está cada vez mais preocupada em reduzir custos, automatizar processos, e atender requisitos de qualidade do produto para atender seus clientes. Processos de montagem realizados de forma manual com inspeção e controle visual são tipicamente processos susceptíveis a erros, à utilização de peças não conformes na montagem do produto final. Este trabalho apresenta uma proposta de desenvolvimento de um sistema de visão de máquina com base no processamento e análise de imagens

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Ng, Bernard. "Novel region based fMRI analysis using invariant moment descriptors." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31787.

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A new functional magnetic resonance imaging (fMRI) analysis approach based on invariant spatial descriptors was developed for quantitative characterization of brain activation patterns within a region of interest (ROI). In particular, the feasibility of using three dimensional moment invariants (3DMIs) to perform such spatial characterization was examined. The use of spatial descriptors is particularly novel in the field of ROI-based fMRI analysis, since up till now, only magnitude-based features were traditionally employed, which neglect the information encoded by voxel locations within an RO

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Shutler, Jamie D. "Velocity moments for holistic shape description of temporal features." Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268462.

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Al-Fahemi, Jabir Hamad. "Momentum-space descriptors for QSPR and QSAR studies." Thesis, University of Liverpool, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439465.

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Sabat, Macole. "Modèles euleriens et méthodes numériques pour la description des sprays polydisperses turbulents." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLC086.

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De nos jours, la simulation des écoulements diphasiques a de plus en plus d’importance dans les chambres de combustion aéronautiques en tant qu’un des éléments requis pour analyser et maîtriser le processus complet de combustion, afin d’améliorer la performance du moteur et de mieux prédire les émissions polluantes. Dans les applications industrielles, la modélisation du combustible liquide trouvé en aval de l’injecteur sous forme de brouillard de gouttes polydisperse, appelé spray, est de préférence faite à l’aide de méthodes Eulériennes. Ce choix s’explique par les avantages qu’offrent ces m

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Davila-Smith, Luciana C. "Permanent dipole moments and damping in nonlinear optics : a quantum electrodynamic description." Thesis, University of East Anglia, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323293.

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Yanni, Mamdouh. "The influence of thresholding and spatial resolution variations on the performance of the complex moments descriptor feature extractor." Thesis, University of Kent, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262371.

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Guillaume, Fabienne de Letter. "De l’immobilité à la remise en mouvement: description et analyse d’un moment de changement - la part active du sujet Sensible." Master's thesis, [s.n.], 2012. http://hdl.handle.net/10284/3401.

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Dissertação de Mestrado apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Psicopedagogia Perceptiva<br>Cette recherche vise à mettre en lumière des phénomènes et processus à l’oeuvre au moment crucial où un sujet, engagé dans une démarche de changement et momentanément figé dans une situation globale d’immobilité psychocorporelle, se remet en mouvement. Plus précisément, ce travail se propose de cerner et caractériser la part active du sujet dans un tel moment, lorsque ce sujet mène son processus de transformation sur le mode du Sensible. U

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Liu, Jiangping. "Prediction of Fluid Dielectric Constants." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2787.

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The dielectric constant or relative static permittivity of a material represents the capacitance of the material relative to a vacuum and is important in many industrial applications. Nevertheless, accurate experimental values are often unavailable and current prediction methods lack accuracy and are often unreliable. A new QSPR (quantitative structure-property relation) correlation of dielectric constant for pure organic chemicals is developed and tested. The average absolute percent error is expected to be less than 3% when applied to hydrocarbons and non-polar compounds and less than 18% wh

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Books on the topic "Descriptor moment"

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Al-Qasim, Abdul-Malik. Silent moments: [the description of before & after death aspects]. Darussalam, 1999.

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Qasim, Abd al-Malik. Silent moments: [the description of before & after death aspects]. Darussalam, 1999.

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3

Lee, Laurie. A moment of war. Chivers, 1992.

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Lee, Laurie. A moment of war. Penguin, 1992.

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Lee, Laurie. A Moment of War. Penguin Group UK, 2009.

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Lee, Laurie. A moment of war. Viking, 1991.

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Lee, Laurie. A moment of war. Viking, 1991.

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Lee, Laurie. A moment of war. Penguin Books, 1992.

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Pop, Valeriu. Adio, Estuar!: Momente uruguayene. Paideia, 1999.

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10

Adirondack moments. Firefly Books, 2009.

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Book chapters on the topic "Descriptor moment"

1

Sadhu, Arup Kumar, Pratyusha Das, Amit Konar, and Ramadoss Janarthanan. "Online Template Matching Using Fuzzy Moment Descriptor." In Smart Innovation, Systems and Technologies. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07353-8_33.

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Abo-Zaid, A., O. R. Hinton, and E. Horne. "About moment normalization and complex moment descriptors." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-19036-8_40.

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Oxenius, Joachim. "Moment Equations and Fluid Description." In Kinetic Theory of Particles and Photons. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70728-5_4.

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Foster, J. P., M. S. Nixon, and A. Prugel-Bennet. "Gait Recognition by Moment Based Descriptors." In Applications and Science in Soft Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-45240-9_45.

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Strobach, Nico. "A Path to a Plausible Description of the Moment of Change." In The Moment of Change. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9127-0_13.

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Whang, Y. C. "Moment Equation Description of Interstellar Hydrogen." In The Heliosphere in the Local Interstellar Medium. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1782-8_39.

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Rosin, Paul L. "Shape Description by Bending Invariant Moments." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23672-3_31.

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Sarfraz, Muhammad, and Ali Taleb Ali Al-Awami. "Object Recognition Using Particle Swarm Optimization on Moment Descriptors." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89619-7_49.

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Woit, Peter. "Multiparticle Systems: Momentum Space Description." In Quantum Theory, Groups and Representations. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64612-1_36.

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Di Ruberto, C., and A. Morgera. "A Comparison of 2-D Moment-Based Description Techniques." In Image Analysis and Processing – ICIAP 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553595_26.

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Conference papers on the topic "Descriptor moment"

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Zaid, A. Abo, and E. Horne. "Complex Moment Descriptor Of Contour Sequence." In 1989 Intl Congress on Optical Science and Engineering, edited by Jacques F. Duvernoy. SPIE, 1989. http://dx.doi.org/10.1117/12.961647.

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Guo, Kehua, and Min Li. "A Novel Shape Descriptor: Gaussian Curvature Moment Invariants." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.125.

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Bui, Tien D., and Guangyi Chen. "Multiresolution moment-Fourier-wavelet descriptor for 2D pattern recognition." In AeroSense '97, edited by Harold H. Szu. SPIE, 1997. http://dx.doi.org/10.1117/12.271746.

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Zou, Cunwei, Qing Song, Yuan Luo, and Jie Li. "Moment characters: Fourier descriptor applied in optoelectronic drop image recognition." In Photonics Asia 2010, edited by Toru Yoshizawa, Ping Wei, Jesse Zheng, and Tsutomu Shimura. SPIE, 2010. http://dx.doi.org/10.1117/12.870517.

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Ardiatna, Wuwus, Adhi Harmoko Saputro, and Djarwani Soeharso Soejoko. "Analysis of Kidney Ultrasound Images Characterization Using Statistical Moment Descriptor." In 2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA). IEEE, 2018. http://dx.doi.org/10.1109/ic3ina.2018.8629517.

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Qingyong Li and Weitao Lu. "Keypoint based moment invariants descriptor for ground-based cloud image retrieval." In 2009 IEEE International Symposium on Industrial Electronics (ISIE 2009). IEEE, 2009. http://dx.doi.org/10.1109/isie.2009.5214092.

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Wenhui Zhao, G. K. H. Pang, and Ngai Wong. "Automatic adaptive multi-point moment matching for descriptor system model order reduction." In 2013 International Symposium on VLSI Design, Automation and Test (VLSI-DAT). IEEE, 2013. http://dx.doi.org/10.1109/vldi-dat.2013.6533818.

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Schulze, Philipp, Tudor C. Ionescu, and Jacquelien M. A. Scherpen. "Families of moment matching-based reduced order models for linear descriptor systems." In 2016 European Control Conference (ECC). IEEE, 2016. http://dx.doi.org/10.1109/ecc.2016.7810579.

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Dinesh Kumar, V. P., and Tessamma Thomas. "Clustering of Invariance Improved Legendre Moment Descriptor for Content Based Image Retrieval." In 2008 International Conference on Signal Processing, Communications and Networking. IEEE, 2008. http://dx.doi.org/10.1109/icscn.2008.4447212.

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Ye Mei and Dimitrios Androutsos. "Robust affine invariant shape image retrieval using the ICA Zernike Moment Shape Descriptor." In 2009 16th IEEE International Conference on Image Processing ICIP 2009. IEEE, 2009. http://dx.doi.org/10.1109/icip.2009.5413537.

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Reports on the topic "Descriptor moment"

1

Tippett, M. K. Tokamak equilibria and transport based on Grad's thirteen moment description. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7026442.

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Tippett, M. K. Tokamak equilibria and transport based on Grad`s thirteen moment description. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10174871.

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