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The vision industries have used normalized correlation to reliably locate patterns with high accuracy. Researchers were able to reduce the computational complexity of normalized correlation by using data pyramids and thus making it find patterns in real-time, but only in spatially translated images. Other attempts by vision industry researchers to speed up normalized correlation, such as skipping pixels, deteriorated the performance. In addition, today’s vision industries need to handle nonlinear changes in brightness, process variations such as multilayer buildup in wafer production, blurring, and perspective distortion. We have developed a simple multi-level matching algorithm that results independent to shift, rotation, scale and also noise. Reference image is aligned with the input image with an associated matching score. The proposed algorithm results extremely robust to global and local intensity variations.

Daniel Eaton's code has been used for a fast normalized cross-correlation.

Index Terms: Matlab, source, code, pattern matching, normalized cross correlation, normxcorr2, pyramid schemes, image registration, image alignment.

 

 

 

 

 

Figure 1. Pattern matching for 2D images



A simple and effective source code for bidimensional pattern matching.



Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.

Release
Date
Major features
1.0

2007.06.07



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2D Pattern Matching - Click here for your donation. In order to obtain the source code you have to pay a little sum of money: 70 EUROS (less than 98 U.S. Dollars).

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The authors have no relationship or partnership with The Mathworks. All the code provided is written in Matlab language (M-files and/or M-functions), with no dll or other protected parts of code (P-files or executables). The code was developed with Matlab 14 SP1. Matlab Image Processing Toolbox is required. The code provided has to be considered "as is" and it is without any kind of warranty. The authors deny any kind of warranty concerning the code as well as any kind of responsibility for problems and damages which may be caused by the use of the code itself including all parts of the source code.

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