-from PIL import Image
-
-from commons import clear
+from PIL import Image, ImageFilter
def edge_detection(image):
- clear()
- print "edge detection"
-
+ image = image.filter(ImageFilter.GaussianBlur())
+ # GaussianBlur is undocumented class, it might not work in future versions
+ # of PIL
image_l = image.load()
new_image = Image.new('L', image.size)
new_image_l = new_image.load()
- for x in range(2, image.size[0] - 2):
- for y in range(2, image.size[1] - 2):
+ for x in xrange(2, image.size[0] - 2):
+ for y in xrange(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]))
+ - (25 * image_l[x, y]))
if pix > 255:
pix = 255
if pix < 0:
return new_image
def peaks(image):
- clear()
- print "peak extraction"
-
image_l = image.load()
new_image = Image.new('L', image.size)
new_image_l = new_image.load()
return new_image
def high_pass(image, height):
- clear()
- print "high pass filter"
-
image_l = image.load()
new_image = Image.new('L', image.size)
new_image_l = new_image.load()
return new_image
def components(image):
- clear()
- print "components center filter"
-
image_l = image.load()
new_image = Image.new('L', image.size)
new_image_l = new_image.load()
- components = []
- comp_counter = 0
+ components = [None]
+ comp_counter = 1
for y in xrange(1, image.size[1] - 1):
for x in xrange(1, image.size[0] - 1):
x_c += x
y_c += y
c += 1
- new_image_l[int(round(float(x_c)/c)), int(round(float(y_c)/c))] = 255
+ new_image_l[int(round(float(x_c)/c)), int(round(float(y_c)/c))] = 255
+
+
+ return new_image
+
+def components2(image):
+ image_l = image.load()
+ new_image = Image.new('L', image.size)
+ new_image_l = new_image.load()
+
+ components = [None]
+ comp_counter = 1
+
+ for y in xrange(2, image.size[1] - 2):
+ for x in xrange(2, image.size[0] - 2):
+ if image_l[x, y]:
+
+ s = {0}
+ for (a, b) in [(a,b) for a in range(x - 2, x + 3)
+ for b in range(y - 2, y + 1)]:
+ if not (b == y and a >= x):
+ s.add(new_image_l[a, b])
+
+ if len(s) == 1:
+ components.append(set())
+ new_image_l[x, y] = comp_counter
+ components[comp_counter].add((x, y))
+ comp_counter += 1
+ elif len(s) == 2:
+ s.remove(0)
+ c = s.pop()
+ new_image_l[x, y] = c
+ components[c].add((x,y))
+ else:
+ s.remove(0)
+ c1 = s.pop()
+ components[c1].add((x, y))
+ new_image_l[x, y] = c1
+ for c2 in s:
+ for (x1, y1) in components[c2]:
+ new_image_l[x1, y1] = c1
+ components[c1] = components[c1] | components[c2]
+ components[c2] = None
+
+ new_image = Image.new('L', image.size)
+ new_image_l = new_image.load()
+
+ for component in components:
+ if component:
+ x_c = 0
+ y_c = 0
+ c = 0
+ for (x, y) in component:
+ x_c += x
+ y_c += y
+ c += 1
+ new_image_l[int(round(float(x_c)/c)), int(round(float(y_c)/c))] = 255
- return new_image
\ No newline at end of file
+ return new_image