Physically-accurate synthetic images for machine vision design

Johne' M. Parker, Kok Meng Lee

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In machine vision applications, accuracy of the image far outweighs image appearance. This paper presents physically-accurate image synthesis as a flexible, practical tool for examining a large number of hardware/software configuration combinations for a wide range of parts. Synthetic images can efficiently be used to study the effects of vision system design parameters on image accuracy, providing insight into the accuracy and efficiency of image-processing algorithms in determining part location and orientation for specific applications, as well as reducing the number of hardware prototype configurations to be built and evaluated. We present results illustrating that physically accurate, rather than photo-realistic, synthesis methods are necessary to sufficiently simulate captured image gray-scale values. The usefulness of physically-accurate synthetic images in evaluating the effect of conditions in the manufacturing environment on captured images is also investigated. The prevalent factor investigated in this study is the effect of illumination: the significance of ambient lighting effects on the captured image and, therefore, on camera calibration was shown; if not fully understood, these effects can introduce apparent error in calibration results. While synthetic images cannot fully compensate for the real environment, they can be efficiently used to study the effects of ambient lighting and other important parameters, such as true part and environment reflectance, on image accuracy. We conclude with an evaluation of results and recommendations for improving the accuracy of the synthesis methodology.

Original languageEnglish
Title of host publicationProceedings of the Japan/USA Symposium on Flexible Automation
EditorsK. Stelson, F. Oba
Pages937-943
Number of pages7
StatePublished - 1996
EventProceedings of the 1996 Japan-USA Symposium on Flexible Automation. Part 2 (of 2) - Boston, MA, USA
Duration: Jul 7 1996Jul 10 1996

Publication series

NameProceedings of the Japan/USA Symposium on Flexible Automation
Volume2

Conference

ConferenceProceedings of the 1996 Japan-USA Symposium on Flexible Automation. Part 2 (of 2)
CityBoston, MA, USA
Period7/7/967/10/96

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Physically-accurate synthetic images for machine vision design'. Together they form a unique fingerprint.

Cite this