ClassifierFactory Class

Initializes a new instance of the ClassifierFactory class

Minimum contrast a feature must have to enter into the classifier.

Minimum number of features the result classifier should have

Maximum exponent of the scale factor between the coarse layer (used for feature search) and the image. The scale factor is determined by 2^scale, e.g. for MaxCoarseLayerScale = 3, the scale factor is 2^3 = 8. When set to -1 (default) the coarse layer scale will be determined automatically by ShapeFinder2 depending on the image size and number features that were extracted.

Distance (in pixels) between adjacent profile points. This value only has an effect if the ProfileSize property is > 1.

Profile size gives the number of profile points to be used for correlation around each feature. With the default value of 1, only the feature locations will be used for the optional correlation steps during a ShapeFinder2 search. When set to values > 1 a number of additional points on a line perpendicular to the edge through the feature will be used. Only odd values are valid here. The spacing of the additional points is controlled by the ProfileDelta property.

Range of rotations that the classifier should be able to cover. Bigger ranges will cause higher processing time.

Range of rotations that the classifier should be able to cover. Bigger ranges will cause higher processing time. Angles are measured in degrees.

Determines whether the specified Object is equal to the current Object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Create a ShapeFinder2 classifier from the input image plane. If the input plane has overlay information, then this overlay information will be extracted and used as don't care points.

Create a ShapeFinder2 classifier from the input image plane.

Create a ShapeFinder2 classifier from the input image plane. If the input plane has overlay information, then this overlay information will be extracted and used as don't care points.

Create a ShapeFinder2 classifier from the input

Creates a shallow copy of the current Object.

Returns a string that represents the current object.

Minimum contrast for features eligible for entering the classifier.

Minimum number of features a classifier must have.

The maximum range of rotations (in degrees) that may be set on the learner.

The maximum range of scales that may be set on the learner.