The phrase 'image engineering' is correct and usable in written English.
The phrase generally refers to the process of manipulating media images to make them suitable for publication or promotion, and it is most often used in the context of advertising and media production. For example: "The advertising campaign was expertly image engineered to appeal to a younger demographic."
Led by distinguished professor of image engineering Nigel Allinson MBE, the PRaVDA team aims to become the first in the world to produce clinical-quality Proton CT imagery.
We are creating ray-based image engineering through the development of FTV.
Vartec has worked with an algorithm developed by Jack Sklansky, the director of image engineering research programs at the University of California at Irvine, an expert at finding patterns in seemingly random images.
OMR represents a comprehensive amalgamation of fields and methods, including musicology, artificial intelligence, image engineering, pattern recognition, and MIDI technology.
Such courses typically include courses that have a rich computational or quantitative component to them, students have had courses in Economics, Arts of the Moving Image, Engineering, Physics, and other departments approved as electives.
And the image of engineering, particularly in this country".
Properties of human vision are central to image system engineering.
Late last year the Institution of Chemical Engineers (IChemE) launched a five year strategy, Chemical Engineering Matters, which recognised the need for a more diverse profession and to break the long-standing stereotypical image of engineering.
When we ran a live discussion recently on boosting the image of engineering, our panel of experts – together with our readers who posted in the comments section – isolated four key areas for improvement and made suggestions about how to achieve these goals.
The bridge between both theories is motivated by the fact that they often arise in industrial fields such as image processing engineering, physics, computer science, economics, ladder networks, dynamic programming, control theory, stochastic filtering, statistics, telecommunications and many other applications.
In the past few years, the dynamic behaviors of coupled interacting loops neural networks have been widely studied due to their extensive applications in classification of pattern recognition, signal processing, image processing, engineering optimization and animal locomotion, and other areas, see the references therein.
