func mean(img image.Image, disk int) image.Image {
g := gift.New(gift.Grayscale())
g.Add(gift.Mean(disk, false)) // use square neighborhood
dst := image.NewRGBA(g.Bounds(img.Bounds()))
g.Draw(dst, img)
return (dst)
}
func meanF(img image.Image, disk int) imageF {
g := gift.New(gift.Grayscale())
g.Add(gift.Mean(disk, false)) // use square neighborhood
dst := image.NewRGBA(g.Bounds(img.Bounds()))
g.Draw(dst, img)
// now convert this to float array of arrays
floatData := make([][]float32, dst.Bounds().Max.Y-dst.Bounds().Min.Y)
for i := range floatData {
floatData[i] = make([]float32, dst.Bounds().Max.X-dst.Bounds().Min.X)
}
bounds := dst.Bounds()
for y := bounds.Min.X; y < bounds.Max.X; y++ {
for x := bounds.Min.Y; x < bounds.Max.Y; x++ {
pr, _, _, _ := dst.At(x, y).RGBA()
floatData[x][y] = float32(pr) // 0.2125*float32(pr) + 0.7154*float32(pg) + 0.0721*float32(pb)
}
}
return floatData
}
