Results 221 to 230 of about 58,008 (265)
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A mathematical model for MIMO imaging
SPIE Proceedings, 2012ABSTRACT Multiple Input Multiple Output- MIMO Radar is a fast growing research area. This paper will give a briefintroduction to the subject as well as derive an image formation scheme. The general problem of radar imagingis to use some physical model for a transmitted signal, and measurements of the signal that is scattered back toa receiver by a ...
Yufeng Cao +3 more
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Mathematical morphology on l-images
Signal Processing, 1992Abstract In most applications, morphological operations are considered as unary operations, each associated with a structuring element. Due to the problem of grey-level overflow, the associated structuring elements of morphological operations on grey-level images (functions from R n or Z n to [0, m], where m is a fixed positive number) are ...
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A Mathematical Model for Computer Image Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982A mathematical model using an operator formulation for a moving object in a sequence of images is presented. Time-varying translation and rotation operators are derived to describe the motion. A variational estimation algorithm is developed to track the dynamic parameters of the operators.
George R. Legters, Tzay Y. Young
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Kuhn, Lakatos, and the Image of Mathematics
Philosophia Mathematica, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987For the purposes of object or defect identification required in industrial vision applications, the operations of mathematical morphology are more useful than the convolution operations employed in signal processing because the morphological operators relate directly to shape.
Robert M. Haralick +2 more
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Segmentation of Microarray Images by Mathematical Morphology
Real-Time Imaging, 2002Summary: DNA chips (i.e., microarrays) biotechnology is a hybridization (i.e., matching of pairs of DNA)-based process that makes possible to quantify the relative abundance of mRNA of two distinct samples by analyzing their fluorescence signals. This technique requires robotic placement (i.e., spotting) of thousands of cDNAs (i.e., complementary DNA ...
Roberto Hirata Jr. +4 more
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Mathematical methods for image synthesis
2002This thesis presents the application of some advanced mathematical methods to image synthesis. The mainstream of our work is to formulate and analyze some rendering problems in terms of mathematical concepts, and develop some new mathematical machineries to pursue analytical solutions or nearly analytical approximations to them.
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Mathematics of Neutron Imaging
2009Imaging with neutrons at macro-world scales (e.g., >10 μm) requires particular understanding of the non-diffracting or refracting interactions that these electrically neutral particles have with their environment. While image formation with neutrons shares some commonality with other radiation sources such as X-rays and gamma rays, neutrons provide ...
K. W. Tobin, P. R. Bingham, J. Gregor
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Mathematical methods in imaging
IEEE Signal Processing Magazine, 2002Alfred O. Hero III, Hamid Krim
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Mathematics in Image Processing
2013Table of Contents * Introduction u by H. Zhao * MRA-based wavelet frames and applications u by B. Dong and Z. Shen * Five lectures on sparse and redundant representations modelling of images u by M. Elad * Simulation of elasticity, biomechanics, and virtual surgery u by J. M. Teran, J. L.
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