/// <summary>
/// 適応型二値化
/// </summary>
private void CreateAdaptBinaryImage()
{
try
{
if (this.FileName == null)
{
this.FileName = this.SelectImageFile();
}
CvAdaptMethod adaptMethod = this.AdaptiveThresholdProperty.AdaptMethod;
int blockSize = this.AdaptiveThresholdProperty.BlockSize;
double param = this.AdaptiveThresholdProperty.Param;
using (CvImage orgImage = new CvImage(this.FileName))
using (CvImage smoothImage = CvImgProc.AdaptiveThresdhold(orgImage, adaptMethod, blockSize, param))
using (MemoryStream stream = new MemoryStream())
{
Bitmap bitmap = smoothImage.GetImageBmp();
if (bitmap == null)
{
MessageBox.Show("bitmap null.");
return;
}
bitmap.Save(stream, ImageFormat.Bmp);
// BitmapImageの作成（キャッシュを切る）
BitmapImage bmpImage = new BitmapImage();
bmpImage.BeginInit();
bmpImage.CacheOption = BitmapCacheOption.OnLoad;
bmpImage.CreateOptions = BitmapCreateOptions.None;
bmpImage.StreamSource = stream;
bmpImage.EndInit();
bmpImage.Freeze();
this.Image005.Source = bmpImage;
bmpImage = null;
}
}
catch (Exception ex)
{
throw ex;
}
}
public object Convert(object value, Type targetType, object parameter, System.Globalization.CultureInfo culture)
{
if (value == null)
{
return(-1);
}
CvAdaptMethod valueCvSmoothType = (CvAdaptMethod)value;
switch (valueCvSmoothType)
{
case CvAdaptMethod.EQUIVALENT:
return(0);
case CvAdaptMethod.GAUSSIAN:
return(1);
default:
return(-1);
}
}
