Intelligent neural network classifier for automatic testing

Baoxing Bai; Heping Yu

doi:10.1117/12.253045

3 October 1996 Intelligent neural network classifier for automatic testing

Baoxing Bai, Heping Yu

Proceedings Volume 2899, Automated Optical Inspection for Industry; (1996) https://doi.org/10.1117/12.253045
Event: Photonics China '96, 1996, Beijing, China

Abstract

This paper is concerned with an application of a multilayer feedforward neural network for the vision detection of industrial pictures, and introduces a high characteristics image processing and recognizing system which can be used for real-time testing blemishes, streaks and cracks, etc. on the inner walls of high-accuracy pipes. To take full advantage of the functions of the artificial neural network, such as the information distributed memory, large scale self-adapting parallel processing, high fault-tolerance ability, this system uses a multilayer perceptron as a regular detector to extract features of the images to be inspected and classify them.

Citation Download Citation

Baoxing Bai and Heping Yu "Intelligent neural network classifier for automatic testing", Proc. SPIE 2899, Automated Optical Inspection for Industry, (3 October 1996); https://doi.org/10.1117/12.253045

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