# Rule based filtering of skin pixels
# (RED>95) && (GREEN>40) && (BLUE>20) && ((max(RED,max(GREEN,BLUE)) - min(RED,min(GREEN,BLUE)))>15) && (abs(RED-GREEN)>15) && (RED>GREEN) && (RED>BLUE);

result = np.zeros(img_color.shape)

# Method 1 - naive with loops
# Remember BGR color space in OpenCV
for row in range(img_color.shape[0]):
  for col in range(img_color.shape[1]):
    if (img_color[row, col, 2] > 95):       # Condition on RED channel
      if (img_color[row, col, 1] > 40):     # Condition on GREEN channel
        if (img_color[row, col, 0] > 20):   # Condition on BLUE channel
          if ((np.maximum(img_color[row, col, 2], np.maximum(img_color[row, col, 1], img_color[row, col, 0])) - np.minimum(img_color[row, col, 2], np.minimum(img_color[row, col, 1], img_color[row, col, 0]))) > 15):   # Condition on min max diff
            if (np.absolute(img_color[row, col, 2] - img_color[row, col, 1]) > 15):   # Condition on absolute values
              if(img_color[row, col, 2] > img_color[row, col, 1]):
                if(img_color[row, col, 2] > img_color[row, col, 0]):
                  # Now we can set the pixel value to 255
                  result[row, col, :] = 255