/// <summary>
/// foamliu, 2009/02/09, 二值图像求逆
///
/// </summary>
/// <param name="bmp"></param>
/// <returns></returns>
public static Bitmap Inverse(Bitmap bmp)
{
int width, height;
int[][] mat;
Bitmap newBmp;
ImageConvert.Bitmap2Mat(bmp, out mat, out width, out height);
ImageConvert.GrayValue2Binary(mat);
BinaryImageLib.Inverse(mat);
ImageConvert.Binary2GrayValue(mat);
ImageConvert.Mat2Bitmap(mat, width, height, out newBmp);
return(newBmp);
}
/// <summary>
/// foamliu, 2009/02/09, 二值图像闭操作
///
/// </summary>
/// <param name="bmp"></param>
/// <returns></returns>
public static Bitmap BinaryClose(Bitmap bmp)
{
int width, height;
int[][] mat, filtered;
Bitmap newBmp;
ImageConvert.Bitmap2Mat(bmp, out mat, out width, out height);
ImageConvert.GrayValue2Binary(mat);
BinaryImageLib.Close(mat, StructuringElement.N4, out filtered);
ImageConvert.Binary2GrayValue(filtered);
ImageConvert.Mat2Bitmap(filtered, width, height, out newBmp);
return(newBmp);
}
public static Bitmap ThresholdDynamic(Bitmap bmp, int gdiff, int k)
{
int width, height;
int[][] mat;
Bitmap newBmp;
ImageConvert.Bitmap2Mat(bmp, out mat, out width, out height);
ThresholdLib.ThresholdDynamic(mat, gdiff, k);
// foamliu, 2009/02/04, 阈值化的结果是二值图像, 需要转化为可显示的灰度图.
ImageConvert.Binary2GrayValue(mat);
ImageConvert.Mat2Bitmap(mat, width, height, out newBmp);
return(newBmp);
}