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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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2015
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Online Access: | http://psasir.upm.edu.my/id/eprint/48220/1/Machining%20process%20classification%20using%20PCA%20reduced%20histogram%20features%20and%20the%20support%20vector%20machine.pdf http://psasir.upm.edu.my/id/eprint/48220/ |
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Institution: | Universiti Putra Malaysia |
Language: | English |