// Constructor
public ColorImageStatisticsDescription(Bitmap image)
{
// get image dimension
int width = image.Width;
int height = image.Height;
// lock it
BitmapData imgData = image.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
// gather statistics
statRGB = new ImageStatistics(imgData);
statHSL = new ImageStatisticsHSL(imgData);
statYCbCr = new ImageStatisticsYCbCr(imgData);
// unlock image
image.UnlockBits(imgData);
}
private void button2_Click(object sender, EventArgs e)
{
if (pictureBox1.Image == null)
{
MessageBox.Show("请先拖拽图片文件到窗口中！");
return;
}
char[] chars = new char[] { 'M', 'Q', 'H', 'N', 'O', 'S', '2', 'C', '?', ')', '>', '!', ':', ',', '.' };
StringBuilder sb = new StringBuilder();
string html_head = "<!DOCTYPE html><html><body style = \"font-family: Monospace;font-size: 2px;line-height: 50%;\">";
string html_tail = "</body></html>";
sb.Append(html_head);
Bitmap bmp = (Bitmap)pictureBox1.Image;
int p_fac = Convert.ToInt32(textBox1.Text); //最大像素个数
double w_fac = Convert.ToDouble(textBox3.Text); //宽度因子
double c_fac = Convert.ToDouble(textBox2.Text); //对比度因子
bool binarization = false;
int binary_threshold = 127;
int m = Math.Max(bmp.Height, (int)(bmp.Width * w_fac));
double delta = Math.Max(m * 1.0 / p_fac, 1);
int w = (int)((int)(bmp.Width * w_fac) / delta);
int h = (int)(bmp.Height / delta);
FiltersSequence filter = new FiltersSequence();
filter.Add(new ResizeNearestNeighbor(w, h));
if (checkBox1.Checked)
{
filter.Add(new HistogramEqualization());
}
if (checkBox2.Checked)
{
filter.Add(new Sharpen());
}
if (checkBox3.Checked)
{
binarization = true;
}
using (Bitmap newbmp = filter.Apply(bmp))
{
if (binarization)
{
ImageStatisticsYCbCr stat = new ImageStatisticsYCbCr(newbmp);
ContinuousHistogram y = stat.Y;
binary_threshold = (int)(y.Mean * 162);
}
BitmapData bmpData =
newbmp.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
unsafe
{
byte *ptr = (byte *)(bmpData.Scan0);
int tmp;
for (int y = 0; y < h; y++)
{
for (int x = 0; x < w; x++)
{
tmp = ptr[1];
tmp = (int)((tmp - 127) * c_fac + 127);
tmp = tmp < 0 ? 0 : (tmp > 255 ? 255 : tmp);
int l = (int)(0.299 * ptr[2] + 0.587 * tmp + 0.114 * ptr[0]);
if (binarization)
{
l = l > binary_threshold ? 255 : 0;
}
sb.Append(chars[l * 14 / 255]);
ptr += 3;
}
sb.Append("<br/>");
ptr += bmpData.Stride - bmpData.Width * 3;
}
}
newbmp.UnlockBits(bmpData);
}
sb.Append(html_tail);
string tempFile = Path.GetTempFileName() + ".html";
File.WriteAllText(tempFile, sb.ToString().Replace("...", ".. "));
System.Diagnostics.Process.Start(tempFile);
}
public ImageStat GetImageStats(string fullPath, FormOptions options)
{
if (cancelAnalysis)
{
return(null);
}
Messaging.Talk($"{fullPath}");
ImageStat res = null;
try
{
res = new ImageStat();
res.ImagePath = fullPath.Replace(options.ImagesSoureDirectory, string.Empty);
res.Length = _fileSystemService.GetFileLength(fullPath);
// load file
using (var image = _imageService.GetThumb(fullPath, _configService.TempBitmapHeight))
{
// hsl
//Talk($"{fullPath} HSL... ");
var statsHSL = new ImageStatisticsHSL(image);
res.Luminance = (decimal)statsHSL.Luminance.Median;
res.Pixels = statsHSL.PixelsCount;
// rgb
//Talk($"{fullPath} RGB... ");
var stats = new ImageStatistics(image);
res.Blue = stats.Blue.Median;
res.Red = stats.Red.Median;
res.Green = stats.Green.Median;
res.Pixels = stats.PixelsCount;
res.BlueMax = stats.Blue.Max;
res.RedMax = stats.Red.Max;
res.GreenMax = stats.Green.Max;
res.BlueMin = stats.Blue.Min;
res.RedMin = stats.Red.Min;
res.GreenMin = stats.Green.Min;
// YCbCr
// Talk($"{fullPath} YCbCr... ");
var statsYCbCr = new ImageStatisticsYCbCr(image);
res.Cb = statsYCbCr.Cb.Mean;
res.Cr = statsYCbCr.Cr.Mean;
res.Y = statsYCbCr.Y.Mean;
}
}
catch (Exception e)
{
res = null;
Messaging.Talk($"{fullPath} Error! {e.Message}... ");
Messaging.RaiseProgress(null, new ProgressBarEventArgs {
EventKindOf = EventKind.IncrementError
});
}
finally
{
Messaging.RaiseProgress(null, new ProgressBarEventArgs {
EventKindOf = EventKind.Increment
});
}
return(res);
}
