ASCII output

[imago.git] / filters.py

diff --git a/filters.py b/filters.py
index 222d8fe..a5d00e6 100644 (file)
--- a/filters.py
+++ b/filters.py
@@ -1,15 +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):
+    
+    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)]) 
             pix = (sum([sum([
                 image_l[a, b] 
                     for b in range(y - 2, y + 3)]) 


@@ -21,13 +18,12 @@ def edge_detection(image):
                 pix = 0 
             new_image_l[x, y] = pix
     return new_image
                 pix = 0 
             new_image_l[x, y] = pix
     return new_image

-       
+

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

-    clear()
-    print "peak extraction"
+    

     for x in range(2, image.size[0] - 2):
         for y in range(2, image.size[1] - 2):
             pix = (sum([sum([
     for x in range(2, image.size[0] - 2):
         for y in range(2, image.size[1] - 2):
             pix = (sum([sum([


@@ -46,8 +42,7 @@ def high_pass(image, height):
     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()

-    clear()
-    print "high pass filter"
+    

     for x in xrange(image.size[0]):
         for y in xrange(image.size[1]):
             if image_l[x, y] < height:
     for x in xrange(image.size[0]):
         for y in xrange(image.size[1]):
             if image_l[x, y] < height:


@@ -56,3 +51,85 @@ def high_pass(image, height):
                 new_image_l[x, y] = image_l[x, y]
 
     return new_image
                 new_image_l[x, y] = image_l[x, y]
 
     return new_image

+
+def components(image):
+    image_l = image.load()
+    new_image = Image.new('L', image.size)
+    new_image_l = new_image.load()
+
+    components = []
+    comp_counter = 0
+
+    for y in xrange(1, image.size[1] - 1):
+        for x in xrange(1, image.size[0] - 1):
+            if image_l[x, y]:
+                s = {0}
+                s.add(new_image_l[x - 1, y - 1])
+                s.add(new_image_l[x, y - 1])
+                s.add(new_image_l[x + 1, y - 1])
+                s.add(new_image_l[x - 1, y])
+                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, c2 = s.pop(), s.pop()
+                    components[c2].add((x, y))
+                    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
+
+def half_centers(image):
+    image_l = image.load()
+    new_image = Image.new('L', image.size)
+    new_image_l = new_image.load()
+    
+    x_s = 0
+    y_s = 0
+    n = 0
+    for x in range(0, image.size[0] / 2):
+        for y in range(0, image.size[1]):
+            if image_l[x, y] > 127:
+                x_s += x
+                y_s += y
+                n += 1
+    new_image_l[x_s / n, y_s / n] = 255
+
+    x_s = 0
+    y_s = 0
+    n = 0
+    for x in range(image.size[0] / 2, image.size[0]):
+        for y in range(0, image.size[1]):
+            if image_l[x, y] > 127:
+                x_s += x
+                y_s += y
+                n += 1
+    new_image_l[x_s / n, y_s / n] = 255
+
+    return new_image
+