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Proceedings Paper

Three-dimensional profile measurement by using an artificial neural network
Author(s): Naiguang Lu; Wenyi Deng; Shaofeng Sun; Jiping Yang
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Paper Abstract

This paper introduces 3D profiles noncontact measurement method by using a kind of artificial neural network- backpropagation network. It makes a detail discussion on optical system, data acquisition, and how to train the BP network. An object is projected by a laser stripe light, and the lien image of the object is captured by a CCD camera. The input data of BP network is given from a series of image on CCD by certain image processing technology. Once a mapping relationship of coordinates between CCD camera image plane and related position in object's space is set up by sing BP network, the image plane coordinates of any objects are used as the input data of BP network it will immediately obtain the corresponding coordinates in space according to the output. Thus the profile can be easily established by these coordinates. This method reduces the requirement for system accuracy, and no need to test and a light the whole system in advance accurately.

Paper Details

Date Published: 10 August 1998
PDF: 6 pages
Proc. SPIE 3558, Automated Optical Inspection for Industry: Theory, Technology, and Applications II, (10 August 1998); doi: 10.1117/12.318396
Show Author Affiliations
Naiguang Lu, Beijing Institute of Machinery Industry (China)
Wenyi Deng, Beijing Institute of Machinery Industry (China)
Shaofeng Sun, Beijing Institute of Machinery Industry (China)
Jiping Yang, Beijing Institute of Machinery Industry (China)


Published in SPIE Proceedings Vol. 3558:
Automated Optical Inspection for Industry: Theory, Technology, and Applications II
Shenghua Ye, Editor(s)

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