readme file, help

[imago.git] / filter.py

diff --git a/filter.py b/filter.py
index 7421fea..c350ef5 100644 (file)
--- a/filter.py
+++ b/filter.py
@@ -1,9 +1,12 @@
 from PIL import Image
 from PIL import Image

+from commons import clear

 
 def edge_detection(image):
     image_l = image.load()
     new_image = Image.new('L', image.size)
     new_image_l = new_image.load()
 
 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])
     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])


@@ -18,8 +21,10 @@ def high_pass(image, high_pass):
     image_l = image.load()
     new_image = Image.new('L', image.size)
     new_image_l = new_image.load()
     image_l = image.load()
     new_image = Image.new('L', image.size)
     new_image_l = new_image.load()

-    for x in range(image.size[0]):
-        for y in range(image.size[1]):
+    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:
             if image_l[x, y] < high_pass:
                 new_image_l[x, y] = 0
             else: