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Feature Extraction of Radar Range Profiles Based on Normalized Central Moments
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作者 傅雄军 高梅国 《Journal of Beijing Institute of Technology》 EI CAS 2004年第S1期17-20,共4页
The normalized central moments are widely used in pattern recognition because of scale and translation invariance. The moduli of normalized central moments of the 1-dimensional complex range profiles are used here as ... The normalized central moments are widely used in pattern recognition because of scale and translation invariance. The moduli of normalized central moments of the 1-dimensional complex range profiles are used here as feature vector for radar target recognition. The common feature extraction method for high resolution range profile obtained by using Fourier-modified direct Mellin transform is inefficient and unsatisfactory in recognition rate And. generally speaking, the automatic target recognition method based on inverse synthetic aperture radar 2-dimensional imaging is not competent for real time object identification task because it needs complicated motion compensation which is sometimes too difficult to carry out. While the method applied here is competent for real-time recognition because of its computational efficiency. The result of processing experimental data indicates that this method is good at recognition. 展开更多
关键词 radar range profile: automatic target recognition: normalized central moment: clustering analysis: nearest neighbor classifier
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Movement Invariants-based Algorithm for Medical Image Tilt Correction 被引量:2
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作者 Mei-Sen Pan Jing-Tian Tang Xiao-Li Yang 《International Journal of Automation and computing》 EI 2010年第4期543-549,共7页
In this paper, the edge detection for a medical image is performed based on Sobel operator, and the bounding box is obtained, by which the effective medical sub-image is extracted. Then, the centroid and the normalize... In this paper, the edge detection for a medical image is performed based on Sobel operator, and the bounding box is obtained, by which the effective medical sub-image is extracted. Then, the centroid and the normalized central moments of the medical sub-image are calculated, and the rotation angle a is obtained by minimizing the second-order central moment based on its rotation invariance. Finally, the whole medical image is rotated around the centroid by --a to correct the tilted image. F^rthermore, inspired by the uniformity degree of the image, the rotation angle ct is revised, which achieves a better correction effect and performance. The experimental results show that the proposed algorithms are fairly reliable and accurate for the determination of tilt angles, and are practical and effective tilt correction techniques. 展开更多
关键词 Tilt correction central moment medical image image uniformity Sobel operator
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APPLICATION OF THE MOMENT METHODS TO ANALYSIS OF X-RAY DIFFRACTION LINE PROFILE FOR PA1010-BMI SYSTEM 被引量:1
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作者 张宏放 于力 +2 位作者 张利华 莫志深 牟忠诚 《Chinese Journal of Polymer Science》 SCIE CAS CSCD 1995年第3期210-217,共8页
Pure X-ray diffraction profiles have been analysed for polyamide 1010 and PA1O1O-BMI system by means of multipeak fitting resolution of X-ray diffraction. The methods of variance and fourth moment have been applied to... Pure X-ray diffraction profiles have been analysed for polyamide 1010 and PA1O1O-BMI system by means of multipeak fitting resolution of X-ray diffraction. The methods of variance and fourth moment have been applied to determine the particle size and strain values for the paracrystalline materials. The results indicated that both variance and fourth moment of X-ray diffraction line profile yielded approximately the same values of the particle size and the strain. The particle sizes of (100) reflection have been found to decrease with increasing BMI content, whereas the strain values increased. 展开更多
关键词 PA1010-BMI SYSTEM central MOMENT METHOD WAXD
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Inertial Frame Independent Forcing for Discrete Velocity Boltzmann Equation:Implications for Filtered Turbulence Simulation
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作者 Kannan N.Premnath Sanjoy Banerjee 《Communications in Computational Physics》 SCIE 2012年第8期732-766,共35页
We present a systematic derivation of a model based on the central moment lattice Boltzmann equation that rigorously maintains Galilean invariance of forces to simulate inertial frame independent flow fields.In this r... We present a systematic derivation of a model based on the central moment lattice Boltzmann equation that rigorously maintains Galilean invariance of forces to simulate inertial frame independent flow fields.In this regard,the central moments,i.e.moments shifted by the local fluid velocity,of the discrete source terms of the lattice Boltzmann equation are obtained by matching those of the continuous full Boltzmann equation of various orders.This results in an exact hierarchical identity between the centralmoments of the source terms of a given order and the components of the central moments of the distribution functions and sources of lower orders.The corresponding source terms in velocity space are then obtained from an exact inverse transformation due to a suitable choice of orthogonal basis for moments.Furthermore,such a central moment based kinetic model is further extended by incorporating reduced compressibility effects to represent incompressible flow.Moreover,the description and simulation of fluid turbulence for full or any subset of scales or their averaged behavior should remain independent of any inertial frame of reference.Thus,based on the above formulation,a new approach in lattice Boltzmann framework to incorporate turbulence models for simulation of Galilean invariant statistical averaged or filtered turbulent fluid motion is discussed. 展开更多
关键词 Lattice Boltzmann method central moments Galilean invariance TURBULENCE FILTERING
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