Results 251 to 260 of about 3,454,792 (299)

Machine vision-based detection method for key phenotypic information of shiitake mushroom stipes. [PDF]

Front Plant Sci
Zhao J, Wang M, Li Z, Song Q, Chen C, Guo G, Dong J, Shan F, Xu R, Liu W, Zhang X, Zheng W.   +11 more
europepmc   +1 more source

Machine vision-based detection of browning maturity in shiitake cultivation sticks. [PDF]

Front Plant Sci
Liu Z, Zhao J, Zheng W, Song Q, Zhang X, Liu W, Shan F, Xu R, Li Z, Dong J, Zhao P, Wang Y, Wang M.   +12 more
europepmc   +1 more source

Hyperspectral data set of stone cultural relics in high-precision machine vision scene. [PDF]

Sci Data
Yang H, Peng L, Zhao G, Li X, Chen C, Liu S.   +5 more
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Integration of Machine Vision and PLC-Based Control for Scalable Quality Inspection in Industry 4.0. [PDF]

Sensors (Basel)
Maślanka M, Jancarczyk D, Rysinski J.
europepmc   +1 more source

A Machine Vision Perspective on Droplet-Based Microfluidics. [PDF]

Adv Sci (Weinh)
Wang JX, Wang H, Lai H, Liu FX, Cui B, Yu W, Mao Y, Yang M, Yao S.   +8 more
europepmc   +1 more source

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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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Shape in machine vision

Image and Vision Computing, 1993
Abstract The representation of shape in machine vision is reviewed with emphasis on the most common types of representation and recent developments. Both planar shape and solid shape are examined with connections and generalizations drawn wherever possible.
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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.
openaire   +1 more source