Class AbstractManhattan

Manhattan distance (NeuQuant modification) - w/o sRGB coefficients

Hierarchy

AbstractDistanceCalculator
- AbstractManhattan

Index

Constructors

constructor

Properties

Methods

Constructors

constructor

new AbstractManhattan(): AbstractManhattan

Inherited from AbstractDistanceCalculator.constructor
- Defined in distance/distanceCalculator.ts:19
Returns AbstractManhattan

Properties

Protected _kA

_kA: number

Protected _kB

_kB: number

Protected _kG

_kG: number

Protected _kR

_kR: number

Protected _maxDistance

_maxDistance: number

Protected _whitePoint

_whitePoint: { a: number; b: number; g: number; r: number }

Type declaration

a: number
b: number
g: number
r: number

Methods

Protected Abstract _setDefaults

_setDefaults(): void

Inherited from AbstractDistanceCalculator._setDefaults
- Defined in distance/distanceCalculator.ts:65
Returns void

calculateNormalized

calculateNormalized(colorA: PointRGBA, colorB: PointRGBA): number

Inherited from AbstractDistanceCalculator.calculateNormalized
- Defined in distance/distanceCalculator.ts:36
Parameters
- colorA: PointRGBA
- colorB: PointRGBA
Returns number

calculateRaw

calculateRaw(r1: number, g1: number, b1: number, a1: number, r2: number, g2: number, b2: number, a2: number): number

Overrides AbstractDistanceCalculator.calculateRaw
- Defined in distance/manhattan.ts:20
Calculate raw distance (non-normalized)

Parameters
- r1: number
- g1: number
- b1: number
- a1: number
- r2: number
- g2: number
- b2: number
- a2: number
Returns number

setWhitePoint

setWhitePoint(r: number, g: number, b: number, a: number): void

Inherited from AbstractDistanceCalculator.setWhitePoint
- Defined in distance/distanceCalculator.ts:26
Parameters
- r: number
- g: number
- b: number
- a: number
Returns void

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