IPToolImageIdentify
Description
Given a set of images (viar a parameter collection) finds the best match to an input image
Inputs
ParaSetCollection
A set of parameters where a variable is the image file name
or
A collection of images
Image
The image to match
Parameters
ParamNameToImage
the field name of the parameter the defines the image name.
If the input is a collecion of images this is ignored
ImageExt
Extension to add the the image name
Image Path
The location of the image as defined by the image name
Correlation Weight
ContrastWeight
SizeWeight
HistogramWeight
AngleHistogramWeight
The weight ie muliplier to the type of match
Correlation is normalized corrlation match
Contrast it normalized contrast difference
Size is the size match
Histogram matches the shape of the equalized histograms - not yet implemented
AngleHistogram matches the shape of the equalized histograms but defined ont he angle image - not yet implemented
All scores are scaled for 0-100%
MinAcceptScore
To be regarded as a canditate the minimum acceptable score
ScoreStopValue
Further Searching is aborted if a score reaches the stop value
MaxScore
The best score found
ShapeScores
SizeScores
ConstrastScores
HistoScores
AngleScores
the score as calculated.
If the input collection is a set of parameters theses are added to the parameter collection
as readonly non persistant varaiables
Collection
the return collection sorted best score first
NumberFound
the number of accpetabel items found
FoundIndex
FoundName
the found item