Results 231 to 240 of about 1,093,634 (281)
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Machine Vision

2010
This 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing ...
Wesley E. Snyder, Hairong Qi
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Machine Vision

Aerospace Testing International, 2023
AI co-pilots could soon be improving safety in aircraft by providing collision avoidance and navigation prompts
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Learning and vision machines

Proceedings of the IEEE, 2002
The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this paper we review our approach to the problem of visual perception based on supervised learning. After a brief presentation of the theoretical background, we focus on some of the engineering applications of statistical learning to ...
HEISELE B, VERRI, ALESSANDRO, POGGIO T.
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Machine vision

Image and Vision Computing, 1992
Franz Pichler, Heinz Schwärtzel
  +5 more sources

Machine Vision

2013
Abstract Machine vision is a means of simulating the image recognition and analysis capabilities of the human eye/brain system with electronic and electromechanical techniques. This chapter discusses four basic steps in the machine vision process, namely image formation, image preprocessing, image analysis, and image interpretation ...
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Perfect vision [machine vision system]

Manufacturing Engineer, 2006
VI Engineering (VIE) has developed a novel machine vision system based on double line scan cameras and backlighting units for accurately measuring counts, times and positions of objects falling in high speed and high rate. A distinct advantage of the system is that it can distinguish clump objects that were mis-counted by the previous generation ...
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Fundamentals of machine vision lighting

Proceedings of WESCON '93, 1987
The advances in machine vision technology have been substantial in recent years, with the introduction of faster, more powerful processors and the improvements in sensor technology (i.e., solid state cameras). One area that is often neglected in machine vision applications is lighting considerations.
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