Results 251 to 260 of about 1,557,386 (309)

Mechano-electrical feedback in transgenic rabbit models of long QT syndrome Type 2 and short QT syndrome Type 1. [PDF]

Europace
Alerni N, Buonocunto M, Nimani S, Louradour J, Barbieri M, Giammarino L, Matas L, Lumens J, Delhaas T, Koren G, Lopez R, Zehender M, Brunner M, Ördög B, Heijman J, Odening KE.   +15 more
europepmc   +1 more source

Trait- versus state- grey matter volume alterations in premenstrual dysphoric disorder. [PDF]

BMC Psychiatry
Stiernman L, Dubol M, Sundström-Poromaa I, Bixo M, Comasco E.   +4 more
europepmc   +1 more source

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Visual cryptography for grey level images

Information Processing Letters, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BLUNDO, Carlo, DE SANTIS, Alfredo, NAOR M.   +2 more
openaire   +3 more sources

Shape-based grey-level image interpolation

Physics in Medicine and Biology, 1999
The three-dimensional (3D) object data obtained from a CT scanner usually have unequal sampling frequencies in the x-, y- and z-directions. Generally, the 3D data are first interpolated between slices to obtain isotropic resolution, reconstructed, then operated on using object extraction and display algorithms.
K S, Chuang, C Y, Chen, L J, Yuan, C K, Yeh   +3 more
openaire   +2 more sources

Polynomial Representations Of Grey-Level Images

SPIE Proceedings, 1988
This paper presents a highly structured and compact representation of grey-level images. Addition and multiplication are defined for the set of all grey-level images which become commutative semigroups under these operations. Images can then be described as polynomials of two variables. Examples are given for ordered and randomized image patterns. Also
Bao-Ting Lerner, Hans Thomas
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Grey-Level Image

1984
The grey-level image is a point-by-point representation of image intensities, formed by the optical image triggering various photochemical and/or photoelectric processes. It is pointilliste. making explicit only local intensity values; all other information is left implicit.
Alan Bundy, Lincoln Wallen
openaire   +1 more source

Non-parametric image subtraction using grey level scattergrams

Image and Vision Computing, 2000
Image subtraction is used in many areas of machine vision to identify small changes between equivalent pairs of images. Often only a small subset of the differences will be of interest. In motion analysis only those differences caused by motion are important, and differences due to other sources only serve to complicate interpretation.
P Bromiley, N Thacker, P Courtney
openaire   +1 more source

Local Grey-Level Operations

1984
A class of transformations on grey level images which replace each pixel (in parallel) by some function of its neighbouring pixels,
Alan Bundy, Lincoln Wallen
openaire   +1 more source