research paper on digital image processing-05
Polarized light microscopy and digital image processing identify a multilaminar structure of the hamster zona pellucida.
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D Keefe, P Tran, C Pellegrini,Human Reproduction, 1997,ESHRE
Abstract The zona pellucida (zona) is a glycoprotein coat that envelopes the oocyte and
embryo, binds sperm during fertilization and facilitates transfer of the embryo through the
Fallopian tube. Before implantation can occur, the blastocyst must hatch from the zona. ..
Aggregate sizing and shape determination using digital image processing
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NH Maerz,Center For Aggregates Research (ICAR) Sixth Annual 1998,mst.edu
Abstract Aggregate size and shape measurements are increasingly becoming important
issues in the mining, comminution, materials handling, and construction industries.
Screening or sieving methods, today’s standard method of sizing stone materials, are ..
Application of digital image processing to quantitative study of
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ZQ Yue, WB Bekking,Transportation Research Record, 1995,nrc-cnrc.gc.ca
Les renseignements dans ce document sont protégés par la Loi sur le droit d’auteur, par les
lois, les politiques et les règlements du Canada et des accords internationaux. Ces dispositions
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An efficient parallel motion estimation algorithm for digital image processing
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LG Chen, WT Chen, YS Jehng,Circuits and Systems for 1991
Abstract The authors present an efficient block-matching algorithm called the parallel
hierarchical one-dimensional search (PHODS) for motion estimation. Instead of finding the
two-dimensional motion vector directly, the PHODS finds two one-dimensional
An Introduction to Digital Image Processing with Matlab Notes for SCM2511 Image Processing
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A McAndrew,Semester, 2004,appnote.avrportal.com
As we mentioned in the preface, human beings are predominantly visual creatures: we rely
heavily on our vision to make sense of the world around us. We not only look at things to
identify and classify them, but we can scan for differences, and obtain an overall rough “
Microspectrofluorometry by digital image processing: measurement of cytoplasmic pH.
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L Tanasugarn, P McNeil, GT Reynolds,The Journal of cell 1984,jcb.rupress.org
Abstract An interface of our microspectrofluorometer with an image processing system
performs microspectrofluorometric measurements in living cells by digital image processing.
Fluorescence spectroscopic parameters can be measured by digital image processing
Cubic convolution interpolation for digital image processing
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R Keys,Acoustics, Speech and Signal Processing, IEEE 1981
Abstract Cubic convolution interpolation is a new technique for resampling discrete data. It
has a number of desirable features which make it useful for image processing. The
technique can be performed efficiently on a digital computer. The cubic convolution
Order statistics in digital image processing
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I Pitas,Proceedings of the IEEE, 1992
Abstract A family of nonlinear filters based on order statistics is presented. A mathematical
tool derived through robust estimation theory, order statistics has allowed engineers to
develop nonlinear filters with excellent robustness properties. These filters are well suited
Digital image processing of earth observation sensor data
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R Bernstein,IBM Journal of Research and Development, 1976
Abstract This paper describes digital image processing techniques that were developed to
precisely correct Landsat multispectral Earth observation data and gives illustrations of the
results achieved, eg, geometric corrections with an error of less than one picture element,
Examination of the transverse tubular system in living cardiac rat myocytes by 2-photon microscopy and digital image–processing techniques
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C Soeller,Circulation research, 1999,Am Heart Assoc
Abstract—The transverse tubular system (t-system) of cardiac muscle is a structure that
allows rapid propagation of excitation into the cell interior. Using 2-photon molecular
excitation microscopy and digital image–processing methods, we have obtained a .
Digital image processing in flow visualization
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L Hesselink,Annual Review of Fluid Mechanics, 1988,annualreviews.org
Flow visualization results from the interaction between light and matter. Classical methods
such as shadowgraphy, schlieren photography, and interferometry visualize variation in the
index of refraction induced by changes in density, pressure, or temperature.
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