/// <summary>
/// Set the mouse position over the image.
/// It also set the color intensity of the pixel on the image where is mouse is at
/// </summary>
/// <param name="location">The location of the mouse on the image</param>
public void SetMousePositionOnImage(Point location)
{
IImage img = _imageBox.DisplayedImage;
Size size = img.Size;
location.X = Math.Max(Math.Min(location.X, size.Width - 1), 0);
location.Y = Math.Max(Math.Min(location.Y, size.Height - 1), 0);
mousePositionTextbox.Text = location.ToString();
if (_imageType == typeof(CvArray <>))
{
MCvScalar scalar = CvInvoke.cvGet2D(img.Ptr, location.Y, location.X);
colorIntensityTextbox.Text = BufferToString(scalar.ToArray(), img.NumberOfChannels);
}
else if (_imageType == typeof(Mat))
{
Mat mat = img as Mat;
RenderIntensityForMat(mat, location);
}
else if (_imageType == typeof(UMat))
{
UMat umat = img as UMat;
using (Mat mat = umat.GetMat(AccessType.Read))
{
RenderIntensityForMat(mat, location);
}
}
else
{
colorIntensityTextbox.Text = String.Empty;
}
}
/// <summary>
/// Tenengrad梯度方法利用Sobel算子分别计算水平和垂直方向的梯度，同一场景下梯度值越高，图像越清晰。
/// 以下是具体实现，这里衡量的指标是经过Sobel算子处理后的图像的平均灰度值，值越大，代表图像越清晰。
/// </summary>
/// <param name="fileName">包含文件路径的文件名</param>
/// <returns></returns>
public static double Tenengrad(string fileName)
{
Mat imageSource = CvInvoke.Imread(fileName, Emgu.CV.CvEnum.LoadImageType.Color);
Mat imageGrey = new Mat();
CvInvoke.CvtColor(imageSource, imageGrey, Emgu.CV.CvEnum.ColorConversion.Rgb2Gray);
Mat imageSobel = new Mat();
CvInvoke.Sobel(imageGrey, imageSobel, Emgu.CV.CvEnum.DepthType.Cv16U, 1, 1);
//图像的平均灰度
MCvScalar scalar = CvInvoke.Mean(imageSobel);
return(scalar.ToArray()[0]);
}
/// <summary>
/// Set the mouse position over the image.
/// It also set the color intensity of the pixel on the image where is mouse is at
/// </summary>
/// <param name="location">The location of the mouse on the image</param>
public void SetMousePositionOnImage(Point location)
{
IImage img = _imageBox.DisplayedImage;
Size size = img.Size;
location.X = Math.Max(Math.Min(location.X, size.Width - 1), 0);
location.Y = Math.Max(Math.Min(location.Y, size.Height - 1), 0);
mousePositionTextbox.Text = location.ToString();
if (_imageType == typeof(CvArray <>))
{
MCvScalar scalar = CvInvoke.cvGet2D(img.Ptr, location.Y, location.X);
colorIntensityTextbox.Text = BufferToString(scalar.ToArray(), img.NumberOfChannels);
}
else if (_imageType == typeof(Mat))
{
Mat mat = img as Mat;
byte[] raw = mat.GetData(location.Y, location.X);
if (mat.Depth == DepthType.Cv8U)
{
colorIntensityTextbox.Text = BufferToString(raw, img.NumberOfChannels);
}
else if (mat.Depth == DepthType.Cv8S)
{
sbyte[] data = new sbyte[img.NumberOfChannels];
GCHandle handle = GCHandle.Alloc(data, GCHandleType.Pinned);
Marshal.Copy(raw, 0, handle.AddrOfPinnedObject(), mat.ElementSize);
handle.Free();
colorIntensityTextbox.Text = BufferToString(data, data.Length);
}
else if (mat.Depth == DepthType.Cv16S)
{
GCHandle handle = GCHandle.Alloc(raw, GCHandleType.Pinned);
short[] data = new short[img.NumberOfChannels];
Marshal.Copy(handle.AddrOfPinnedObject(), data, 0, data.Length);
handle.Free();
colorIntensityTextbox.Text = BufferToString(data, data.Length);
}
else if (mat.Depth == DepthType.Cv16U)
{
UInt16[] data = new UInt16[img.NumberOfChannels];
GCHandle handle = GCHandle.Alloc(data, GCHandleType.Pinned);
Marshal.Copy(raw, 0, handle.AddrOfPinnedObject(), mat.ElementSize);
handle.Free();
colorIntensityTextbox.Text = BufferToString(data, data.Length);
}
else if (mat.Depth == DepthType.Cv32F)
{
GCHandle handle = GCHandle.Alloc(raw, GCHandleType.Pinned);
float[] floatData = new float[img.NumberOfChannels];
Marshal.Copy(handle.AddrOfPinnedObject(), floatData, 0, floatData.Length);
handle.Free();
colorIntensityTextbox.Text = BufferToString(floatData, floatData.Length);
}
else if (mat.Depth == DepthType.Cv32S)
{
int[] data = new int[img.NumberOfChannels];
GCHandle handle = GCHandle.Alloc(data, GCHandleType.Pinned);
Marshal.Copy(raw, 0, handle.AddrOfPinnedObject(), mat.ElementSize);
handle.Free();
colorIntensityTextbox.Text = BufferToString(data, data.Length);
}
else if (mat.Depth == DepthType.Cv64F)
{
GCHandle handle = GCHandle.Alloc(raw, GCHandleType.Pinned);
double[] doubleData = new double[img.NumberOfChannels];
Marshal.Copy(handle.AddrOfPinnedObject(), doubleData, 0, doubleData.Length);
handle.Free();
colorIntensityTextbox.Text = BufferToString(doubleData, doubleData.Length);
}
else
{
colorIntensityTextbox.Text = String.Empty;
}
}
else
{
colorIntensityTextbox.Text = String.Empty;
}
}
