I have this one working but it is so damn slow on jpeg images and also needs some changing.
I need to know the individual colours in an image (with a tolerance of +/- 1 for RGB) and the % of the image that is that colour.
so if an image was black and white it would say something like White : 74% Black : 26%
The code below works like I said but I need to add a tolerance system as well and I have no idea on how I would do that.
private Dictionary<string, string> getPixelData(Bitmap image)
{
Dictionary<string, string> pixelData = new Dictionary<string, string>();
//int col, row;
//int r, g, b;
Color pixel;
double offset = 0.000001;
int hmm = (image.Height * image.Width);
double current = 0;
offset = 100 / double.Parse(hmm.ToString());// 0.01;// 100 / (image.Height * image.Width) * 10000;
try
{
for (int i = 0; i < image.Height; i++)
{
for (int j = 0; j < image.Width; j++)
{
current = current + offset;
pixel = image.GetPixel(i, j);
pixelData.Add(i + "," + j, (pixel.R.ToString() + " " + pixel.G.ToString() + " " + pixel.B.ToString()));
pBarprocess.Value = int.Parse(Math.Floor(current).ToString());
pBarprocess.Update();
Application.DoEvents();
}
}
}
catch (Exception ex)
{
MessageBox.Show("Unable to parse image " + ex);
}
return pixelData;
}
And the other function
private void btnProcess_Click(object sender, EventArgs e)
{
pBarprocess.Value = 0;
pBarprocess.Enabled = false;
Bitmap foo = Bitmap.FromFile(@txtFileName.Text) as Bitmap;
Dictionary<string, string> pixelData = new Dictionary<string, string>();
lblProcess.Text = "Processing pixel map";
pixelData = getPixelData(foo);
lblProcess.Text = "Calculating Density";
lblProcess.Update();
var distinctList = pixelData.Values.Distinct().ToList();
Console.WriteLine("DL = " + distinctList.Count);
double offset = 100 / double.Parse(distinctList.Count.ToString());
double current = 0;
foreach (var value in distinctList)
{
IEnumerable<string> query = pixelData.Values.Where(fruit => fruit == value);
double perc = (double.Parse(query.Count().ToString()) / double.Parse(pixelData.Count.ToString())) * 100;
Console.WriteLine(value + " = " + query.Count() + "(" + perc + "%)");
txtAnalysis.Text = "Colour " + value + " : " + query.Count() + " (" + perc.ToString() + "%)\r\n" + txtAnalysis.Text;
txtAnalysis.Update();
pBarprocess.Value = int.Parse(Math.Floor(current).ToString());
pBarprocess.Update();
Application.DoEvents();
}
lblProcess.Text = "Finished.";
pBarprocess.Value = 0;
pBarprocess.Enabled = false;
}
GetPixel is not really a fast way to access image data. Use the LockBits method.
EDIT:
Well you're doing a lot of things with strings. Building the pixelData Dictionary that way is pretty useless, why don't you process the distinct colors right away? Color is an immutable struct, so that's a good key for our dictionary already.
Dictionary<Color, int> frequency = new Dictionary<Color, int>();
for (int i = 0; i < image.Height; i++) {
for (int j = 0; j < image.Width; j++) {
pixel = image.GetPixel(i, j);
if (frequency.ContainsKey(pixel)) frequency[pixel]++;
else frequency.Add(pixel, 1);
}
}
// and finally
int totalPixels = image.Width * image.Height;
foreach (var kvp in frequency) {
Console.WriteLine("Color (R={0},G={1},B={2}): {3}", kvp.Key.R, kvp.Key.G, kvp.Key.B, kvp.Value / (double)totalPixels);
}
And that should do it, except when you want to make it even faster and use LockBits instead of GetPixel.
Some other observations:
int hmm = (image.Height * image.Width);
double offset = 100 / double.Parse(hmm.ToString());
You're using a very strange and slow way of casting from int to double. You can just write double offset = 100 / (double)hmm;
and it's the same (you could also write 100.0 and not 100 and the compiler will create a double for you so you don't need to cast hmm).
This made me laugh:
IEnumerable<string> query = pixelData.Values.Where(fruit => fruit == value);
Why fruit!? Seems like you copied this from somewhere.