Created
October 4, 2019 12:49
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# 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 |
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