115 lines
3.0 KiB
Python
115 lines
3.0 KiB
Python
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#!/usr/bin/env python3
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#SkinDetection.py
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# This program runs all 4 skin detection algorithms one after the other
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# Run `python3 SkinDetection.py Path/To/Image` to specify
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# inital image, removing this command arguements will result in
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# the script attempting hard coded locations so errors may arise
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# The
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from PIL import Image
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import math
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import colorsys
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import sys
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#Explicitly Defined Skin Region Model
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def EDSRModel(image_path):
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im = Image.open(image_path)
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pixels = im.load()
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rgb_im = im.convert('RGB')
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for i in range(im.size[0]):
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for j in range(im.size[1]):
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r,g,b = rgb_im.getpixel((i,j))
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if r > 95 and g > 40 and b > 20 and (max(r, g, b) - min(r, g, b)) > 15 and abs(r - g) > 15 and r > g and r > b:
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x = j
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y = i
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else:
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pixels[i,j] = (0,0,0)
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im.save("Results/Explicitly-Defined-Skin-Region.png")
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#Colour Segmentation in Normalization rg Color Model
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def NormalizationrgModel(image_path):
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im = Image.open(image_path)
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pixels = im.load()
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rgb_im = im.convert('RGB')
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for i in range(im.size[0]):
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for j in range(im.size[1]):
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r,g,b = rgb_im.getpixel((i,j))
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R = 0.0
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G = 0.0
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B = 0.0
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if r > 0 or g > 0 or b > 0:
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R = r/float(r+g+b)
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G = g/float(r+g+b)
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B = b/float(r+g+b)
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if 0.465 >= R >= 0.36 and 0.363 >= G >= 0.28:
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x = j
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y = i
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else:
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pixels[i,j] = (0,0,0)
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im.save("Results/Normalizationrg.png")
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#Color Segmentation in HSV Color Model
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def HSVModel(image_path):
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im = Image.open(image_path)
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pixels = im.load()
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rgb_im = im.convert('RGB')
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for i in range(im.size[0]):
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for j in range(im.size[1]):
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r,g,b = rgb_im.getpixel((i,j))
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r = r/255.0
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g = g/255.0
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b = b/255.0
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h,s,v = colorsys.rgb_to_hsv(r,g,b)
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h = h*255
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if 50 >= h >= 0 and 0.68 >= s >= 0.2 and 1 >= v >= 0.35:
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x = j
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y = i
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else:
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pixels[i,j] = (0,0,0)
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im.save("Results/HSV.png")
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#Color Segmentation in YCBCR Color Model
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def YCBCRModel(image_path):
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im = Image.open(image_path)
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pixels = im.load()
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ycbcr_im = im.convert('YCbCr')
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for i in range(im.size[0]):
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for j in range(im.size[1]):
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y,Cb,Cr = ycbcr_im.getpixel((i,j))
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if 142.5 >= Cb >= 97.5 and 134 >= Cr >= 17:
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pixels[i,j] = (0,0,0)
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else:
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x = i
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y = j
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im.save("Results/YCBCR.png")
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def main():
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args = sys.argv[1:]
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if len(sys.argv) == 1:
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image_path = "Images/skin.jpg"
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else:
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image_path = args[0]
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EDSRModel(image_path)
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NormalizationrgModel(image_path)
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HSVModel(image_path)
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YCBCRModel(image_path)
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return
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if __name__ == "__main__":
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main()
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