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-rw-r--r--integralimg.go40
1 files changed, 20 insertions, 20 deletions
diff --git a/integralimg.go b/integralimg.go
index 9b9ad16..afdbebe 100644
--- a/integralimg.go
+++ b/integralimg.go
@@ -14,8 +14,8 @@ import (
"math"
)
-// I is the Integral Image
-type I [][]uint64
+// Image is an integral Image
+type Image [][]uint64
// SqImage is a Square integral Image.
// A squared integral image is an integral image for which the square of
@@ -23,16 +23,16 @@ type I [][]uint64
// Standard Deviation.
type SqImage [][]uint64
-func (i I) ColorModel() color.Model { return color.Gray16Model }
+func (i Image) ColorModel() color.Model { return color.Gray16Model }
-func (i I) Bounds() image.Rectangle {
+func (i Image) Bounds() image.Rectangle {
return image.Rectangle {image.Point{0, 0}, image.Point{len(i[0]), len(i)}}
}
// at64 is used to return the raw uint64 for a given pixel. Accessing
// this separately to a (potentially lossy) conversion to a Gray16 is
// necessary for SqImage to function accurately.
-func (i I) at64(x, y int) uint64 {
+func (i Image) at64(x, y int) uint64 {
if !(image.Point{x, y}.In(i.Bounds())) {
return 0
}
@@ -52,12 +52,12 @@ func (i I) at64(x, y int) uint64 {
return orig
}
-func (i I) At(x, y int) color.Color {
+func (i Image) At(x, y int) color.Color {
c := i.at64(x, y)
return color.Gray16{uint16(c)}
}
-func (i I) set64(x, y int, c uint64) {
+func (i Image) set64(x, y int, c uint64) {
var prevx, prevy, prevxy uint64
prevx, prevy, prevxy = 0, 0, 0
if x > 0 {
@@ -73,15 +73,15 @@ func (i I) set64(x, y int, c uint64) {
i[y][x] = final
}
-func (i I) Set(x, y int, c color.Color) {
+func (i Image) Set(x, y int, c color.Color) {
gray := color.Gray16Model.Convert(c).(color.Gray16).Y
i.set64(x, y, uint64(gray))
}
// NewImage returns a new integral Image with the given bounds.
-func NewImage(r image.Rectangle) *I {
+func NewImage(r image.Rectangle) *Image {
w, h := r.Dx(), r.Dy()
- var rows I
+ var rows Image
for i := 0; i < h; i++ {
col := make([]uint64, w)
rows = append(rows, col)
@@ -89,21 +89,21 @@ func NewImage(r image.Rectangle) *I {
return &rows
}
-func (i SqImage) ColorModel() color.Model { return I(i).ColorModel() }
+func (i SqImage) ColorModel() color.Model { return Image(i).ColorModel() }
func (i SqImage) Bounds() image.Rectangle {
- return I(i).Bounds()
+ return Image(i).Bounds()
}
func (i SqImage) At(x, y int) color.Color {
- c := I(i).at64(x, y)
+ c := Image(i).at64(x, y)
rt := math.Sqrt(float64(c))
return color.Gray16{uint16(rt)}
}
func (i SqImage) Set(x, y int, c color.Color) {
gray := uint64(color.Gray16Model.Convert(c).(color.Gray16).Y)
- I(i).set64(x, y, gray * gray)
+ Image(i).set64(x, y, gray * gray)
}
// NewSqImage returns a new squared integral Image with the given bounds.
@@ -113,7 +113,7 @@ func NewSqImage(r image.Rectangle) *SqImage {
return &s
}
-// Window is a part of an Integral Image
+// Window is a section of an Integral Image
type Window struct {
topleft uint64
topright uint64
@@ -126,7 +126,7 @@ type Window struct {
// GetWindow gets the values of the corners of a square part of an
// Integral Image, plus the dimensions of the part, which can
// be used to quickly calculate the mean of the area
-func (i I) GetWindow(x, y, size int) Window {
+func (i Image) GetWindow(x, y, size int) Window {
step := size / 2
minx, miny := 0, 0
@@ -151,12 +151,12 @@ func (i I) GetWindow(x, y, size int) Window {
}
func (i SqImage) GetWindow(x, y, size int) Window {
- return I(i).GetWindow(x, y, size)
+ return Image(i).GetWindow(x, y, size)
}
// GetVerticalWindow gets the values of the corners of a vertical
// slice of an Integral Image, starting at x
-func (i I) GetVerticalWindow(x, width int) Window {
+func (i Image) GetVerticalWindow(x, width int) Window {
maxy := len(i) - 1
maxx := x + width
if maxx > len(i[0])-1 {
@@ -167,7 +167,7 @@ func (i I) GetVerticalWindow(x, width int) Window {
}
func (i SqImage) GetVerticalWindow(x, width int) Window {
- return I(i).GetVerticalWindow(x, width)
+ return Image(i).GetVerticalWindow(x, width)
}
// Sum returns the sum of all pixels in a Window
@@ -196,7 +196,7 @@ func (w Window) Proportion() float64 {
// MeanStdDevWindow calculates the mean and standard deviation of
// a section on an Integral Image, using the corresponding Square
// Integral Image.
-func MeanStdDevWindow(i I, sq SqImage, x, y, size int) (float64, float64) {
+func MeanStdDevWindow(i Image, sq SqImage, x, y, size int) (float64, float64) {
imean := i.GetWindow(x, y, size).Mean()
smean := sq.GetWindow(x, y, size).Mean()