This plugin correlates
two images or stacks.
The plugin generates a
scatter plot composed of the pixel values of Image1 (array1) and Image2
(array2)
The statistics given are:
 The correlation
coefficient between Image1 and Image2 (R)
 The slope of the
regression line
 The constant C
intercepting the yaxis
 The correlation can be
performed based on single pixels or local areas. The local area size
can be predefined. An average value is calculated for each local area
and used for calculating the correlation coefficient. In addition,
several statistics can be correlated, including: i) average, ii) std,
iii) skewness, iv) kurtosis and v) directionality.
The Correlation arrays
also display the images that are used for correlation.
Correlation sequence:
TargetSource: correlates
image n from Target image vs image n from Source image.
Fix slide (Source): Fix
the active slide on the Source stack and correlates it vs the slides in
the Target stack.
Next slide:
correlates successive images in a stack, i.e. slide n vs slide n+1.
Increasing sequece:
correlates
slides in a stack increasing the distance between the slides. A
correlation value R is calculated for each increament, i.e. :
Interval 1: image 1 vs 2, 2 vs 3, 3 vs 4, 4 vs 5 => average R
Interval 2: image 1 vs 3, 2 vs 4, 3 vs 5 => average R
Interval 3: image 1 vs 4, 2 vs 5 => average R
Interval 4: 1 vs 5 => average R
A plot is generated showing the average R with the corresponding Std as
a function of the image interval.
Correaltion map: creates
a map showing the differenes between local areas.
Correlation plot: Create
a plot showing the correlation.
 A 100 x100 pixels image
yields an array of 10000 scatter plot values when defining a 1pixel
local area and 100 scatter plot values when defining a 10pixels local
area.
 The max local area size
is half the shortest image dimension (width or height):
The user can change the
size of the plot window using Edit>Options>Profile Plot
Options. Width=520 and height 250 is recommended.
Works with stacks.
DISCLAIMER
