ChiSquareDistanceHistogram class

Algorithm class for comparing images with chi-square histogram intersections

Images are converted to histogram representations (x-axis intensity, y-axis frequency). The chi-square distance formula is applied to compute the distance between each bin:

0.5* sum((binCount1 - binCount2)^2 / (binCount1 + binCount2))

Number of histograms bins is 256. Three histograms represent RGB distributions.

• Works well with images of all aspect ratios and dimensions
• Compare for similarity (if two images are similar based on their color distribution)
• Returns percentage difference (0.0 - no difference, 1.0 - 100% difference)

Inheritance

• Object
• Algorithm
• HistogramAlgorithm
• ChiSquareDistanceHistogram

Constructors

ChiSquareDistanceHistogram({bool ignoreAlpha = false})

Properties

hashCode → int

The hash code for this object.

no setter, inherited

ignoreAlpha ↔ dynamic

Ignores alpha channel when computing difference

getter/setter pair

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

compare(Image src1, Image src2) → double

Calculates histogram similarity using chi-squared distance

override

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

override

Operators

operator ==(Object other) → bool

The equality operator.

inherited