Decision support in machine vision system for monitoring of TFT-LCD glass substrates manufacturing
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文摘

Making an automatic inspection system for TFT-LCD glass substrates manufacturing.

Using wavelet co-occurrence signature from substrate images for feature extraction.

Comparing the performance of CART, optimized SVM and MLP classifiers using SA as the best classifier for proposed automatic inspection system.

The proposed SVM model turned out to be appropriate in the context of TFT-LCD glass substrates inspection system.

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