Files
sjy01-image-proc/pkg/producer/phase_correlation.go
2024-05-31 08:48:30 +08:00

110 lines
2.8 KiB
Go

package producer
import (
"image"
"math"
log "github.com/sirupsen/logrus"
"gocv.io/x/gocv"
)
type PhaseShiftM struct {
dx float32
dy float32
response float64
Block Block
}
type Block struct {
width int
height int
coord image.Point // top-left corner of the block in the original image
}
func (r *Registrator) calculateBlockPhaseShift(panBlock, mssBlock gocv.Mat) (gocv.Point2f, float64) {
pan := gocv.NewMat()
mss := gocv.NewMat()
panBlock.ConvertTo(&pan, gocv.MatTypeCV32FC1)
defer pan.Close()
mssBlock.ConvertTo(&mss, gocv.MatTypeCV32FC1)
defer mss.Close()
hann := gocv.NewMat()
defer hann.Close()
shift, response := gocv.PhaseCorrelate(pan, mss, hann)
dx := shift.X
dy := shift.Y
log.Debugf("Block shift: dx = %f, dy = %f. response = %f", dx, dy, response)
return shift, response
}
func (r *Registrator) DoMssPhaseShift() error {
// 使用平均偏移量来做平移变换
for band := 0; band < MssBands; band++ {
var efficientShiftM int
var xTotal, yTotal float32
for _, shift := range r.phaseShifts[band] {
if math.IsNaN(float64(shift.dx)) || math.IsNaN(float64(shift.dy)) {
continue
}
efficientShiftM += 1
xTotal += shift.dx
yTotal += shift.dy
}
dx := xTotal / float32(efficientShiftM)
dy := yTotal / float32(efficientShiftM)
log.Println("Band", band+1, "average shift:", dx, dy, "efficientShiftM:", efficientShiftM)
translationMat := gocv.NewMatWithSize(2, 3, gocv.MatTypeCV32F)
defer translationMat.Close()
translationMat.SetFloatAt(0, 0, 1)
translationMat.SetFloatAt(0, 1, 0)
translationMat.SetFloatAt(0, 2, dx)
translationMat.SetFloatAt(1, 0, 0)
translationMat.SetFloatAt(1, 1, 1)
translationMat.SetFloatAt(1, 2, dy)
alignedMss := gocv.NewMatWithSize(r.MssHeight, r.MssWidth, gocv.MatTypeCV32FC1)
defer alignedMss.Close()
cvtMss := gocv.NewMat()
defer cvtMss.Close()
r.MssImages[band].ConvertTo(&cvtMss, gocv.MatTypeCV32FC1)
// 手动平移像素
outY := math.MaxInt
for y := 0; y < r.MssHeight; y++ {
for x := 0; x < r.MssWidth; x++ {
// 计算新的坐标
newX := x + int(dx)
newY := y + int(dy)
// 如果新坐标在图像范围内,进行像素值赋值
if newX >= 0 && newX < r.MssWidth && newY >= 0 && newY < r.MssHeight {
alignedMss.SetFloatAt(y, x, cvtMss.GetFloatAt(newY, newX))
} else {
// 如果新坐标不在图像范围内,设置为黑色
alignedMss.SetFloatAt(y, x, 0)
if outY > y {
outY = y
log.Println("Warning: pixel out of range", x, y)
}
}
}
}
// gocv.WarpAffine(cvtMss, &alignedMss, translationMat, image.Pt(cvtMss.Size()[1], cvtMss.Size()[0]))
r.registeredMssImages[band] = gocv.NewMat()
alignedMss.ConvertTo(&r.registeredMssImages[band], gocv.MatTypeCV16U)
log.Println("Band", band+1, "registeredMssImages size:", r.registeredMssImages[band].Size())
}
return nil
}