Name
ccc - calculate cross-correlation coefficient between two images
Usage
output = ccc(image1, image2 ,[mask])
Input
- image1
- first input image
- image2
- second input image
- mask
an optional mask image. Only pixels in image1 and image2 for which values of corresponding pixels in mask > 0.5 will be included in calculation.
Output
- output
- the cross-correlation coefficient between images
Method
- Cross-correlation coefficient is calculated directly in real space as:
`\c\c\c=(1/(nx)(sum_(k=0)^(nx-1)(f(k)-Ave_f)(g(k)-Ave_g)))/(sigma_f sigma_g`
Reference
Pratt, W. K., 1992. Digital image processing. Wiley, New York.
Author / Maintainer
Pawel A. Penczek
Keywords
- category 1
- STATISTICS
- category 2
- SPATIAL
Files
statistics.py
Maturity
- stable
- works for most people, has been tested; test cases/examples available.
Bugs
None. It is perfect.
