public PerceptualHash Generate(Image image)
{
var crushed = ImageUtil.Resize(image, 8, 8);
var gray = ImageUtil.Grayscale(crushed);
#if DEBUG
Crushed = crushed;
Gray = gray;
#endif
var averageColor = ImageUtil.AverageColor(gray);
var mean = (uint)averageColor.ToArgb();
var hash = new Bitmap(gray.Width, gray.Height);
using (var bitmap = new Bitmap(gray))
{
for (var x = 0; x < gray.Width; x++)
{
for (var y = 0; y < gray.Height; y++)
{
var p = (uint)bitmap.GetPixel(x, y).ToArgb();
var c = p >= mean ? Color.White : Color.Black;
hash.SetPixel(x, y, c);
}
}
}
var result = new PerceptualHash {
Image = hash
};
return(result);
}
public PerceptualHash Generate(Image image)
{
var crushed = ImageUtil.Resize(image, 8, 8);
var gray = ImageUtil.Grayscale(crushed);
#if DEBUG
Crushed = crushed;
Gray = gray;
#endif
var averageColor = ImageUtil.AverageColor(gray);
var mean = (uint)averageColor.ToArgb();
var hash = new Bitmap(gray.Width, gray.Height);
using (var bitmap = new Bitmap(gray))
{
for (var x = 0; x < gray.Width; x++)
{
for (var y = 0; y < gray.Height; y++)
{
var p = (uint)bitmap.GetPixel(x, y).ToArgb();
var c = p >= mean ? Color.White : Color.Black;
hash.SetPixel(x, y, c);
}
}
}
var result = new PerceptualHash { Image = hash };
return result;
}
public Number CompareTo(PerceptualHash hash)
{
if(hash == null || Image == null || hash.Image == null || Image.Size != hash.Image.Size)
{
throw new ArgumentException("Both hashes must have images whose sizes match");
}
var left = ImageUtil.ConvertToNumbers(Image);
var right = ImageUtil.ConvertToNumbers(hash.Image);
return Distance.Hanning(left, right);
}
public Number CompareTo(PerceptualHash hash)
{
if (hash == null || Image == null || hash.Image == null || Image.Size != hash.Image.Size)
{
throw new ArgumentException("Both hashes must have images whose sizes match");
}
var left = ImageUtil.ConvertToNumbers(Image);
var right = ImageUtil.ConvertToNumbers(hash.Image);
return(Distance.Hanning(left, right));
}