func ProcessRoi(img *opencv.IplImage, gradeOfCanny int) *opencv.IplImage {
var roi = img.GetROI()
w := roi.Width()
h := roi.Height()
// Create the output image
cedge := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 3)
//defer cedge.Release()
// Convert to grayscale
gray := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 1)
edge := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 1)
//newimage := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 1)
defer gray.Release()
defer edge.Release()
opencv.CvtColor(img, gray, opencv.CV_BGR2GRAY)
opencv.Smooth(gray, edge, opencv.CV_BLUR, 3, 3, 0, 0)
opencv.Not(gray, edge)
// Run the edge detector on grayscale
opencv.Canny(gray, edge, float64(gradeOfCanny), float64(gradeOfCanny*3), 3)
opencv.Zero(cedge)
// copy edge points
opencv.Copy(img, cedge, edge)
return cedge
}
func ProcessImage(img *opencv.IplImage, win *opencv.Window, pos int) error {
w := img.Width()
h := img.Height()
// Create the output image
cedge := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 3)
defer cedge.Release()
// Convert to grayscale
gray := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 1)
edge := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 1)
defer gray.Release()
defer edge.Release()
opencv.CvtColor(img, gray, opencv.CV_BGR2GRAY)
opencv.Smooth(gray, edge, opencv.CV_BLUR, 3, 3, 0, 0)
opencv.Not(gray, edge)
// Run the edge detector on grayscale
opencv.Canny(gray, edge, float64(pos), float64(pos*3), 3)
opencv.Zero(cedge)
// copy edge points
opencv.Copy(img, cedge, edge)
win.ShowImage(img)
return nil
}
func (d *Detector) Detect() *opencv.IplImage {
opencv.Copy(d.currentFrame, d.previousFrame, nil)
opencv.Copy(d.nextFrame, d.currentFrame, nil)
opencv.CvtColor(d.params.QueryFrame(), d.nextFrame, opencv.CV_BGR2GRAY)
opencv.AbsDiff(d.previousFrame, d.nextFrame, d.d1)
opencv.AbsDiff(d.nextFrame, d.currentFrame, d.d2)
opencv.BitwiseAnd(d.d1, d.d2, d.motion, nil)
opencv.Threshold(d.motion, d.motion, 35, 255, opencv.CV_THRESH_BINARY)
_, sdev := opencv.MeanStdDev(d.motion, nil)
if sdev.Val()[0] <= d.params.DevThreshold {
d.phase = 0
return nil
}
d.phase++
if d.phase < d.params.PhaseThreshold {
return nil
}
d.phase = 0
return d.params.QueryFrame()
}
func HoughCirclesWithParams(img *opencv.IplImage, dp float64, min_dist float64, param_1 float64, param_2 float64, min_radius int, maxradius int) []opencv.CircleStruct {
var gray = opencv.CreateImage(img.Width(), img.Height(), opencv.IPL_DEPTH_8U, 1)
opencv.CvtColor(img, gray, opencv.CV_BGR2GRAY)
return opencv.HoughCircles(gray, dp, min_dist, param_1, param_2, 1, 500)
}
func HoughCircles1(img *opencv.IplImage) []opencv.CircleStruct {
var gray = opencv.CreateImage(img.Width(), img.Height(), opencv.IPL_DEPTH_8U, 1)
opencv.CvtColor(img, gray, opencv.CV_BGR2GRAY)
return opencv.HoughCircles(gray, 15, 100, 75, 5, 25, 500)
}
func main() {
filename := "../images/lena.jpg"
if len(os.Args) == 2 {
filename = os.Args[1]
}
image := opencv.LoadImage(filename)
if image == nil {
panic("LoadImage fail")
}
defer image.Release()
w := image.Width()
h := image.Height()
// Create the output image
cedge := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 3)
defer cedge.Release()
// Convert to grayscale
gray := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 1)
edge := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 1)
defer gray.Release()
defer edge.Release()
opencv.CvtColor(image, gray, opencv.CV_BGR2GRAY)
win := opencv.NewWindow("Edge")
defer win.Destroy()
win.SetMouseCallback(func(event, x, y, flags int, param ...interface{}) {
fmt.Printf("event = %d, x = %d, y = %d, flags = %d\n",
event, x, y, flags,
)
})
win.CreateTrackbar("Thresh", 1, 100, func(pos int, param ...interface{}) {
edge_thresh := pos
opencv.Smooth(gray, edge, opencv.CV_BLUR, 3, 3, 0, 0)
opencv.Not(gray, edge)
// Run the edge detector on grayscale
opencv.Canny(gray, edge, float64(edge_thresh), float64(edge_thresh*3), 3)
opencv.Zero(cedge)
// copy edge points
opencv.Copy(image, cedge, edge)
win.ShowImage(cedge)
fmt.Printf("pos = %d\n", pos)
})
win.ShowImage(image)
for {
key := opencv.WaitKey(20)
if key == 27 {
os.Exit(0)
}
}
os.Exit(0)
}
func cloneGreyscale(im *opencv.IplImage) *opencv.IplImage {
w, h := im.Width(), im.Height()
g := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 1)
opencv.CvtColor(im, g, opencv.CV_BGR2GRAY)
return g
}
