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-rw-r--r--binarize/integralimg.go116
1 files changed, 116 insertions, 0 deletions
diff --git a/binarize/integralimg.go b/binarize/integralimg.go
new file mode 100644
index 0000000..c585d60
--- /dev/null
+++ b/binarize/integralimg.go
@@ -0,0 +1,116 @@
+package main
+
+import (
+ "image"
+ "math"
+)
+
+type integralwindow struct {
+ topleft uint64
+ topright uint64
+ bottomleft uint64
+ bottomright uint64
+ width int
+ height int
+}
+
+func integralimg(img *image.Gray) [][]uint64 {
+ b := img.Bounds()
+ var oldy, oldx, oldxy uint64
+ var integral [][]uint64
+ for y := b.Min.Y; y < b.Max.Y; y++ {
+ newrow := []uint64{}
+ for x := b.Min.X; x < b.Max.X; x++ {
+ oldx, oldy, oldxy = 0, 0, 0
+ if x > 0 {
+ oldx = newrow[x-1]
+ }
+ if y > 0 {
+ oldy = integral[y-1][x]
+ }
+ if x > 0 && y > 0 {
+ oldxy = integral[y-1][x-1]
+ }
+ pixel := uint64(img.GrayAt(x, y).Y)
+ i := pixel + oldx + oldy - oldxy
+ newrow = append(newrow, i)
+ }
+ integral = append(integral, newrow)
+ }
+ return integral
+}
+
+func integralimgsq(img *image.Gray) [][]uint64 {
+ b := img.Bounds()
+ var oldy, oldx, oldxy uint64
+ var integral [][]uint64
+ for y := b.Min.Y; y < b.Max.Y; y++ {
+ newrow := []uint64{}
+ for x := b.Min.X; x < b.Max.X; x++ {
+ oldx, oldy, oldxy = 0, 0, 0
+ if x > 0 {
+ oldx = newrow[x-1]
+ }
+ if y > 0 {
+ oldy = integral[y-1][x]
+ }
+ if x > 0 && y > 0 {
+ oldxy = integral[y-1][x-1]
+ }
+ pixel := uint64(img.GrayAt(x, y).Y)
+ i := pixel * pixel + oldx + oldy - oldxy
+ newrow = append(newrow, i)
+ }
+ integral = append(integral, newrow)
+ }
+ return integral
+}
+
+// this gets the values of the four corners of a window, which can
+// be used to quickly calculate the mean of the area
+func getintegralwindow(integral [][]uint64, x int, y int, size int) integralwindow {
+ step := size / 2
+
+ minx, miny := 0, 0
+ maxy := len(integral)-1
+ maxx := len(integral[0])-1
+
+ if y > (step+1) {
+ miny = y - step - 1
+ }
+ if x > (step+1) {
+ minx = x - step - 1
+ }
+
+ if maxy > (y + step) {
+ maxy = y + step
+ }
+ if maxx > (x + step) {
+ maxx = x + step
+ }
+
+ return integralwindow { integral[miny][minx], integral[miny][maxx], integral[maxy][minx], integral[maxy][maxx], maxx-minx, maxy-miny}
+}
+
+func integralmean(integral [][]uint64, x int, y int, size int) float64 {
+ i := getintegralwindow(integral, x, y, size)
+ total := float64(i.bottomright + i.topleft - i.topright - i.bottomleft)
+ sqsize := float64(i.width) * float64(i.height)
+ return total / sqsize
+}
+
+func integralmeanstddev(integral [][]uint64, integralsq [][]uint64, x int, y int, size int) (float64, float64) {
+ i := getintegralwindow(integral, x, y, size)
+ isq := getintegralwindow(integralsq, x, y, size)
+
+ var total, sqtotal, sqsize float64
+
+ sqsize = float64(i.width) * float64(i.height)
+
+ total = float64(i.bottomright + i.topleft - i.topright - i.bottomleft)
+ sqtotal = float64(isq.bottomright + isq.topleft - isq.topright - isq.bottomleft)
+
+ mean := total / sqsize
+ variance := (sqtotal / sqsize) - (mean * mean)
+ return mean, math.Sqrt(variance)
+}