public double ClutterMultiplier { get; set; }

public double ClutterMultiplier { get; set; }

Public Property ClutterMultiplier As Double 
	Get 
	Set

Public Property ClutterMultiplier As Double 
	Get 
	Set

public:
property double ClutterMultiplier {
	double get ();
	void set (double value);
}

public:
property double ClutterMultiplier {
	double get ();
	void set (double value);
}

Property Value

A runtime data point is considered extraneous if it lies within the bounding box of the found pattern (as returned by GetBoundingBox ), but does not match any point on that pattern. Extraneous data points are known as clutter. They appear in the runtime image at locations that should be empty.

The clutter value of each result measures the relative number of extraneous data points for that result. Clutter is a weighted ratio that divides the number of extraneous data points for a given result by the total number of points in the trained pattern. It can never be less than zero, but it can be larger than one.

You can choose how the clutter value of a result will affect that result's score by setting the clutter multiplier. Set it to a high value if you wish to significantly reduce the score of results that exhibit clutter. Set the clutter multiplier to zero if you wish the score of your results to be insensitive to clutter.

The score of a result is computed by multiplying the Clutter value of the result by the ClutterMultiplier and then subtracting that number from the result's Coverage value. The score increases as the coverage value rises, and typically decreases as the clutter value rises. The formula is:

Score = Coverage - (Clutter * ClutterMultiplier)

Notice that the score is never less than zero or greater than 1.0. It is always clipped to lie within this range.