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