Created
January 16, 2015 08:32
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TP1 de vision par ordinateur
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import numpy as np | |
import cv2 | |
from math import * | |
import os | |
databasePath = "db" | |
outputPath = "output" | |
def readImage(imagePath): | |
return cv2.imread(databasePath + "/" + imagePath) | |
def recognizeSkinFromBGR(image): | |
image_dimensions = image.shape[0:2] | |
for x in range(image_dimensions[0]): | |
for y in range(image_dimensions[1]): | |
B = image.item(x,y,0) | |
G = image.item(x,y,1) | |
R = image.item(x,y,2) | |
if not(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): | |
image.itemset((x,y,0),255) | |
image.itemset((x,y,1),255) | |
image.itemset((x,y,2),255) | |
return image | |
for imagePath in os.listdir(databasePath): | |
print("Processing " + imagePath) | |
image = readImage(imagePath) | |
imageProcessed = recognizeSkinFromBGR(image) | |
cv2.imwrite(outputPath + "/" + imagePath, imageProcessed) |
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