Fast normalized cross correlation for defect detection

By Du-Ming Tsai, Chien-Ta Lin. Pattern Recognition Letters, 2003

326 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Media Technology

View Paper: https://www.semanticscholar.org/paper/ad73cd418319510ad354d5fb51a63775929d91b5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Michael G. Pecht
2. Jing Tian
3. Michael H. Azarian
4. Gim Hee Lee
5. Carlos Morillo

In Media Technology

1. Michael G. Pecht
2. Marc Pollefeys
3. Jing Tian
4. Christian Häne
5. Michael H. Azarian
6. Gim Hee Lee
7. Carlos Morillo

Citations in the corpus

• Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis (2016, methodology): “Compared with other correlation techniques such as Pearson’s correlation coefficient, cross correlation is less sensitive to factors such as the phase and the amplitude of the signals [40].”
• Real-Time Direct Dense Matching on Fisheye Images Using Plane-Sweeping Stereo (2014, methodology): “We utilize a sequence of five times box filtering to compute the ZNCC scores according to [21] leading to a running time that increases linearly with the matching window width.”
• A Fast Normalized Cross-Correlation Calculation Method for Motion Estimation (2010, unknown): “tsai and lin proposed a fast Zncc method for defect detection which used the sum tables to calculate both the numerator and denominator [35].”