Machining process classification using PCA reduced histogram features and the support vector machine

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Machining process classification using PCA reduced histogram features and the support vector machine

Being able to identify machining processes that produce specific machined surfaces is crucial in modern manufacturing production. Image processing and computer vision technologies have become indispensable tools for automated identification with benefits such as reduction in inspection time and avoi...

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Bibliographic Details
Main Authors:	Ashour, Mohammed Waleed, Khalid, Fatimah, Abdul Halin, Alfian, Abdullah, Lili Nurliyana
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/48220/ http://psasir.upm.edu.my/id/eprint/48220/1/Machining%20process%20classification%20using%20PCA%20reduced%20histogram%20features%20and%20the%20support%20vector%20machine.pdf

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