Study on Material Stacking Image Based on Machine Vision

Abstract:

Article Preview

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 et al., "Study on Material Stacking Image Based on Machine Vision", Key Engineering Materials, Vols. 460-461, pp. 178-183, 2011

Online since:

January 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.