from PIL import Image
+from commons import clear
-def filter(image):
+def edge_detection(image):
image_l = image.load()
new_image = Image.new('L', image.size)
new_image_l = new_image.load()
+ clear()
+ print "edge detection"
for x in range(2, image.size[0] - 2):
for y in range(2, image.size[1] - 2):
pix = sum([sum([image_l[a, b] for b in range(y - 2, y + 3)]) for a in range(x - 2, x + 3)]) - (25 * image_l[x, y])
pix = 0
new_image_l[x, y] = pix
return new_image
+
+def high_pass(image, high_pass):
+ image_l = image.load()
+ new_image = Image.new('L', image.size)
+ new_image_l = new_image.load()
+ clear()
+ print "high pass filter"
+ for x in xrange(image.size[0]):
+ for y in xrange(image.size[1]):
+ if image_l[x, y] < high_pass:
+ new_image_l[x, y] = 0
+ else:
+ new_image_l[x, y] = image_l[x, y]
+
+ return new_image