Evaluation of Defects on
an Optical Disc Master Plate
Chern-Sheng Lin
Department of Automatic Control Engineering,
Feng Chia University, Taichung, Taiwan
ABSTRACT
This paper presents a method to analyze and detect defects on the surface
of a master disc, the cause of distorted images by applying a neural network
program and micro-image technology. The referred method or system automatically,
step by step detects defects in the disc electrical signal output to drive
a x-y table and provide indicative information for managing contamination
in a cleanroom of a manufacturing plant.
Subject terms: optical disc: neural
network; digital image processing.
INTRODUCTION
DIGITAL PROCESSING METHOD
Network Architecture
Training Algorithm
Recognition Methodology
EXPERIMENTS
database
specimen for testing
the testing specimen (continue)
novel feature recognition neural network
copper plate image
processing results
CONCLUSION
REFERENCES
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