A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fractional-Step Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Industrial Image Processing: Visual Quality Control in Manufacturing
Industrial Image Processing: Visual Quality Control in Manufacturing
Rotation Invariant Neural Network-Based Face Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Maximum Likelihood Face Detection
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Robust Facial Feature Localization by Coupled Features
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
An Introduction to Digital Image Processing With Matlab
An Introduction to Digital Image Processing With Matlab
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Journal of Cognitive Neuroscience
An unsupervised neural network approach for automatic semiconductor wafer defect inspection
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Face recognition using LDA-based algorithms
IEEE Transactions on Neural Networks
High-speed face recognition based on discrete cosine transform and RBF neural networks
IEEE Transactions on Neural Networks
A framework for variation visualization and understanding in complex manufacturing systems
Journal of Intelligent Manufacturing
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New image processing techniques as well digital image capture equipment provide an opportunity for fast detection and diagnosis of quality problems in manufacturing environments compared with traditional dimensional measurement techniques. This paper proposes a new use of image processing to detect in real-time quality faults using images traditionally obtained to guide manufacturing processes. The proposed method utilizes face recognition tools to eliminate the need of specific feature detection on determining out-of-specification parts. The focus of the proposed methodology is on computational efficiency to ensure that the algorithm runs in real time in high volume manufacturing environments. The algorithm is trained with previously classified images. New images are then classified into two groups, healthy and unhealthy. This paper proposes a method that combines Discrete Cosine Transform with Fisher's Linear Discriminant Analysis to detect faults, such as cracks, directly from aluminum stamped parts.