Template Matching using Correlation Coefficients
The correlation coefficient calculation is implemented not with built-in function corr or corr2 but with conv2. Function corr is relatively slow for template matching purpose and it is also required extra considerations on controlling the boundary and selecting region of interest on the frame image. However, by using conv2, the template matching speed has been accelerated and run-time has reduced to a reasonable value.
Zitieren als
Yue Wu (2025). Template Matching using Correlation Coefficients (https://www.mathworks.com/matlabcentral/fileexchange/28590-template-matching-using-correlation-coefficients), MATLAB Central File Exchange. Abgerufen.
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS LinuxKategorien
- Image Processing and Computer Vision > Computer Vision Toolbox > Tracking and Motion Estimation > Template Matching >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > ROI-Based Processing >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.1.0.0 | some changes are made in description |
||
1.0.0.0 |