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 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)
}