Adaptive Principal Component Analysis Combined with Feature Extraction-Based Method for Feature Identification in Manufacturing

This paper developed a principal component analysis (PCA)-integrated algorithm for feature identification in manufacturing; this algorithm is based on an adaptive PCA-based scheme for identifying image features in vision-based inspection. PCA is a commonly used statistical method for pattern recogni...

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Bibliographic Details
Main Author: Tsun-Kuo Lin
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2019/5736104