mrcImageNormalizing
Usage
Usage: mrcImageNormalizing
Options:
[-i[nput] In (NULL )] :Essential :InputDataFile
[-o[utput] Out (NULL )] :Essential :OutputDataFile
[-A A (1.0 )] :Optional :A
[-B B (0.0 )] :Optional :B
[-ContourMin ContourMin (0.0 )] :Optional :ContourMin
[-ContourMax ContourMax (1.0 )] :Optional :ContourMax
[-ContourSolvent ContourSolvent (0.0 )] :Optional :ContourSolvent
[-c[onfig] configFile (NULL )] :Optional :ConfigurationFile
[-m[ode] mode (0 )] :Optional :Mode
----- mode -----
----- Mode for lmrcImageNormalizing -----
0: Double Exponential: Solvent and Object
Fitting histgram to double exponentials as Solvent and Object
data = A*(data-MeanOfSolvent)/(MeanOfObject-MeanOfSolvent) + B
1: Min-Max: Background and Object
data = A*(data-Min)/(Max-Min) + B
2: Contour
data = A*(data-ContourMin)/(ContourMax-ContourMin) + B
3: Contour and Solvent
if data < ContourSolvent, data = ContourSolvent. After this, calculate the below.
data = A*(data-ContourMin)/(ContourMax-ContourMin) + B
4: No Estimation
data = A*data + B
5: Assume the density as gaussion.
data = A*Normalized(data) + B , where normalized means (average=0, SD=1)