Paper Title:
Study on Material Stacking Image Based on Machine Vision
  Abstract

Combining materials handling and stacking operations, this paper takes the fertilizer bags as the object and studies on the image processing method of the material stacking and segments the stacking image. Using binocular vision technology generates stacking depth image, and the depth data is extracted. It can provide a theoretical basis for the robot to realize the automatic recognition of material stacking.

  Info
Periodical
Key Engineering Materials (Volumes 460-461)
Edited by
Yanwen Wu
Pages
178-183
DOI
10.4028/www.scientific.net/KEM.460-461.178
Citation
C. C. Li, T. H. Zhang, H. G. Liu, J. Yu, S. F. Wang, "Study on Material Stacking Image Based on Machine Vision", Key Engineering Materials, Vols. 460-461, pp. 178-183, 2011
Online since
January 2011
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Price
$32.00
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