Empirical impact of cache effects for vision system design

2008 ◽  
Author(s):  
D.S. Tweed ◽  
J.M. Ferryman
Keyword(s):  
System Design ◽  
Vision System

scholarly journals Machine vision system design for inspecting steel bearing balls

2008 ◽  
Vol 17 (5) ◽  
pp. 338-345
Author(s):  
Su-Woo Park ◽  
Yoon-Su Kim ◽  
Sang-Ok Lee ◽  
Byung-Hun Lim ◽  
Tae-Gyun Kim ◽  
...  
Keyword(s):  
Machine Vision ◽  
System Design ◽  
Vision System ◽  
Machine Vision System

Binocular stereo vision system design for lunar rover

2007 ◽  
Author(s):  
Jun Chu ◽  
Chunlin Jiao ◽  
Hang Guo ◽  
Xiaoyu Zhang
Keyword(s):  
System Design ◽  
Stereo Vision ◽  
Vision System ◽  
Lunar Rover ◽  
Stereo Vision System ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

Image synthesis methodology for algorithm testing and vision system design

2002 ◽  
Vol 216 (5) ◽  
pp. 669-682 ◽  
Author(s):  
J M Parker ◽  
K-M Lee
Keyword(s):  
Image Processing ◽  
System Design ◽  
Vision System ◽  
Image Synthesis ◽  
Image Understanding ◽  
Design Parameters ◽  
Wide Range ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Synthesis Methodology

Although it is well-recognized and widely accepted that vision adds considerable flexibility, and it has also been shown that numerical simulation can aid in image understanding and vision system design (significantly reducing the engineering time to design and implement such systems), the utilization of image synthesis as an aid in algorithm and system design still remains a largely underexplored area. In machine vision applications, accuracy of the image generally outweighs image appearance. Unfortunately, the focus of most commercially available simulation methods is on photorealistic image synthesis; this is insufficient to design vision systems or evaluate and compare image-processing algorithms for part-presentation tasks: physically accurate, rather than photo-realistic, synthesis methods are necessary to sufficiently simulate captured image grey-scale values. This paper presents a methodology to generate physically accurate synthetic images efficiently in order to provide an accurate, flexible and practical means of evaluating the performance of image-processing algorithms for numerous hardware/software configuration combinations and a wide range of parts. While the synthesis methodology cannot fully compensate for the real environment, it can be used efficiently to study the effects of vision system design parameters on image accuracy. This provides an insight into the efficacy of the design and the ability of suggested image-processing algorithms to perform adequately for specific applications; furthermore, it may provide a means for correcting apparent errors in image-processing results.

Flying Vision System Design of Placement Machine for Microphone

2017 ◽  
Vol 3 (1) ◽  
pp. 5-14
Author(s):  
Cheng Jian ◽  
Li Maohai ◽  
Lin Rui ◽  
Chen Liguo
Keyword(s):  
System Design ◽  
Vision System ◽  
Placement Machine

Compression-Aware In-Memory Query Processing: Vision, System Design and Beyond

2017 ◽  
pp. 40-56 ◽  
Author(s):  
Juliana Hildebrandt ◽  
Dirk Habich ◽  
Patrick Damme ◽  
Wolfgang Lehner
Keyword(s):  
Query Processing ◽  
System Design ◽  
Vision System
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