C# port of a simple skin color detection algorithm. Python original by SpliFF here. See also this Stack Overflow question.
Produces a lot of false positives but is great for quickly filtering a large set of unknown images.
Last active
July 15, 2019 08:14
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Simple human skin color detection
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| using System; | |
| using System.Diagnostics; | |
| using System.Drawing; | |
| using System.IO; | |
| namespace SkinScanner | |
| { | |
| class Program | |
| { | |
| static void Main(string[] args) | |
| { | |
| foreach (var dir in args) | |
| { | |
| foreach (var file in Directory.GetFiles(dir)) | |
| { | |
| try | |
| { | |
| using (var img = Image.FromFile(file) as Bitmap) | |
| { | |
| if (img != null) | |
| { | |
| if (HasSkin(img)) | |
| Console.Out.WriteLine(file); | |
| } | |
| // else not an image | |
| } | |
| } | |
| catch | |
| { | |
| // error reading file | |
| } | |
| } | |
| } | |
| } | |
| const int MinSkinPercentage = 25; | |
| static bool HasSkin(Bitmap img) | |
| { | |
| int total = 0, skin = 0; | |
| var startx = 0; | |
| var endx = img.Width; | |
| var starty = 0; | |
| var endy = img.Height; | |
| //var startx = (int)(0.2 * img.Width); | |
| //var endx = (int)(0.8 * img.Width); | |
| //var starty = (int)(0.2 * img.Height); | |
| //var endy = (int)(0.8 * img.Height); | |
| for (int y = starty; y < endy; y++) | |
| { | |
| for (int x = startx; x < endx; x++) | |
| { | |
| var p = img.GetPixel(x, y); | |
| var s = IsSkin(p); | |
| if (s) skin++; | |
| total++; | |
| } | |
| } | |
| return ((double)skin / total) > (MinSkinPercentage / 100.0); | |
| } | |
| static bool IsSkin(Color p) | |
| { | |
| return p.R > 60 && (p.G < p.R * 0.85) && (p.B < p.R * 0.7) && (p.G > p.R * 0.4) && (p.B > p.R * 0.2); | |
| } | |
| } | |
| } |
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