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2013, vol.18, no.1	2013, vol.18, no.10	2013, vol.18, no.11	2013, vol.18, no.2	2013, vol.18, no.4	2013, vol.18, no.5
2013, vol.18, no.6	2013, vol.18, no.7	2013, vol.18, no.8	2013, vol.18, no.9

题名	作者	出版年	年卷期
Cameras capture bowlers in full swing	Andrew Wilson	2013	2013, vol.18, no.4
3-D IMAGING: 3-D scanner digitizes bone structures of fish for research	Andrew Wilson	2013	2013, vol.18, no.4
Off-the-shelf components combine for granule and powder inspection	Andrew Wilson	2013	2013, vol.18, no.4
Explore the Fundamentals of Machine Vision: Part II - Consider developer and end-user skillsets as well as the vision system tasks when applying algorithms for image processing	Andrew Wilson	2013	2013, vol.18, no.4
Sample-based Identification Eases Object Recognition Tasks: Training image-processing algorithms to recognize objects by color or texture eliminates the need for barcodes	Markus Ulrich; Lutz Kreutzer	2013	2013, vol.18, no.4
LED Backlights Provide Illumination Solutions for Vision Systems: Choosing a backlight for machine vision is highly application-dependent	Andrew Wilson	2013	2013, vol.18, no.4
Code reader can track beers with 100% accuracy	Andrew Wilson	2013	2013, vol.18, no.4