cic

package
v0.0.0-...-2f9545d Latest Latest
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 Go to latest Published: Oct 23, 2024 License: GPL-3.0 Imports: 11 Imported by: 0

Documentation

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func ConvertImageToColouring 

func ConvertImageToColouring(
	filename string,
	outputFilename string,
	sigma float64,
	upperThreshold int,
	lowerThreshold int,
	nonMaxSuppDist int,
	thickerThreshold int,
	thinnerThreshold int,
)

func DiscreteGaussian 

func DiscreteGaussian(n int, t float64) float64

t of Discrete Gaussian is σ² of continuous Gaussian, i.e. the variance (square of standard deviation)

func GaussianBlur 

func GaussianBlur(img *image.Gray, sigma float64) *image.Gray

func GaussianBlurColour 

func GaussianBlurColour(img *image.RGBA, sigma float64) *image.RGBA

func GrayscaleImage 

func GrayscaleImage(img image.Image) *image.Gray

func InvertGrayscaleImage 

func InvertGrayscaleImage(img *image.Gray) *image.Gray

func KMeansImage 

func KMeansImage(img *image.RGBA, k int) *image.RGBA

func ModBesselI0 

func ModBesselI0(x float64) (ans float64)

ModBesselI0 returns the modified Bessel function I0(x) for any real x.

func ModBesselI1 

func ModBesselI1(x float64) (ans float64)

ModBesselI1 returns the modified Bessel function I1(x) for any real x.

func ModBesselIn 

func ModBesselIn(n int, x float64) (ans float64)

ModBesselIn returns the modified Bessel function In(x) for any real x and n ≥ 0

func ModBesselK0 

func ModBesselK0(x float64) float64

ModBesselK0 returns the modified Bessel function K0(x) for positive real x. 

Special cases:
  K0(x=0) = +Inf
  K0(x<0) = NaN

func ModBesselK1 

func ModBesselK1(x float64) float64

ModBesselK1 returns the modified Bessel function K1(x) for positive real x. 

Special cases:
  K0(x=0) = +Inf
  K0(x<0) = NaN

func ModBesselKn 

func ModBesselKn(n int, x float64) float64

ModBesselKn returns the modified Bessel function Kn(x) for positive x and n ≥ 0

func PixelNonmaxSuppression 

func PixelNonmaxSuppression(ig *ImageGradients, x, y, distance int) bool

Returns True if a pixel should be retained during non-max suppression, and False if it should be discarded.

func RgbToGray 

func RgbToGray(c color.RGBA) color.Gray

func RunColourImageProc 

func RunColourImageProc(filename string, outputFilename string)

[todo] -- add root app CLI options to colour processing

func RunKMeansImage 

func RunKMeansImage(filename string, outputFilename string, k int)

func RunSeparateColourImageProc 

func RunSeparateColourImageProc()

func SeparateColourSobelFilter 

func SeparateColourSobelFilter(img *image.RGBA) (
	*ImageGradients, *ImageGradients, *ImageGradients)

func ThickenLineAtPixel 

func ThickenLineAtPixel(img *image.Gray, x, y, thickness int, col color.Gray)

func ThickenLinesByDarkness 

func ThickenLinesByDarkness(
	src *image.Gray,
	thickerThreshold uint8,
	thinnerThreshold uint8,
) *image.Gray

Types

type DiscreteGaussianKernel1D 

type DiscreteGaussianKernel1D struct {
	Size          int
	Variance      float64
	ScalingFactor float64
	Elements      []float64
}

func CreateDiscreteGaussianKernel 

func CreateDiscreteGaussianKernel(sigma float64) *DiscreteGaussianKernel1D

func (DiscreteGaussianKernel1D) String 

func (dgk DiscreteGaussianKernel1D) String() string

type GradientDirection 

type GradientDirection uint8

func CalcGradientDirection 

func CalcGradientDirection(x, y int) GradientDirection

type HSVA 

type HSVA struct {
	H       uint16
	S, V, A uint8
}

func (HSVA) RGBA 

func (c HSVA) RGBA() (r, g, b, a uint32)

type ImageGradients 

type ImageGradients struct {
	Value     [][]int
	Direction [][]GradientDirection
	X         int
	Y         int
}

func ColourSobelFilter 

func ColourSobelFilter(img *image.RGBA) *ImageGradients

func CreateImageGradients 

func CreateImageGradients(x, y int) *ImageGradients

func SobelFilter 

func SobelFilter(img *image.Gray) *ImageGradients

func (*ImageGradients) BasicThresholdSuppression 

func (ig *ImageGradients) BasicThresholdSuppression() *ImageGradients

func (*ImageGradients) FollowEdge 

func (ig *ImageGradients) FollowEdge(x, y, upper, lower int, accEdges sets.Set[image.Point])

func (*ImageGradients) GrayscaleImage 

func (ig *ImageGradients) GrayscaleImage() *image.Gray

func (*ImageGradients) LineFollowingThresholdSuppression 

func (ig *ImageGradients) LineFollowingThresholdSuppression(upperThreshold, lowerThreshold int) *ImageGradients

func (*ImageGradients) NeighbourOverThreshold 

func (ig *ImageGradients) NeighbourOverThreshold(x, y, thr int) bool

func (*ImageGradients) NonmaxSuppression 

func (ig *ImageGradients) NonmaxSuppression(distance int) *ImageGradients

type KMeansClusters 

type KMeansClusters struct {
	K        int
	Means    []Mean
	Clusters [][]Pixel
	CostVal  float64
}

func InitKMeans 

func InitKMeans(k int) *KMeansClusters

func (*KMeansClusters) AssignClusterMeanValues 

func (kmc *KMeansClusters) AssignClusterMeanValues(img *image.RGBA) *image.RGBA

func (*KMeansClusters) AssignClusters 

func (kmc *KMeansClusters) AssignClusters(img *image.RGBA)

func (*KMeansClusters) CalculateMeans 

func (kmc *KMeansClusters) CalculateMeans(img *image.RGBA)

func (*KMeansClusters) DistToMean 

func (kmc *KMeansClusters) DistToMean(meanIdx int, px color.RGBA) float64

func (*KMeansClusters) PartlyRandomiseMeans 

func (kmc *KMeansClusters) PartlyRandomiseMeans()

func (*KMeansClusters) RandomiseMeans 

func (kmc *KMeansClusters) RandomiseMeans()

type Mean 

type Mean struct {
	R uint8
	G uint8
	B uint8
}

type Pixel 

type Pixel struct {
	X int
	Y int
}

type SobelKernel 

type SobelKernel struct {
	Size      int
	Direction string
	Factors   [][]int
}

func CreateSobelKernel 

func CreateSobelKernel(dir string) *SobelKernel

Source Files

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