X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/8d05ccd11445ae069ae14dfb95d566907546e989..cb5eb5a01ee68e22c9ac02a6feaf52c46bfc6c0e:/hough.py?ds=inline

diff --git a/hough.py b/hough.py
index 5fca93f..d01416a 100644
--- a/hough.py
+++ b/hough.py
@@ -1,10 +1,12 @@
-from PIL import Image
 from math import sin, cos, pi
+
+from PIL import Image
+
 from commons import clear
 
 class Hough:
     def __init__(self, size):
-	self.size = size
+        self.size = size
         self.dt = pi / size[1]
         self.initial_angle = (pi / 4) + (self.dt / 2)
 
@@ -30,7 +32,8 @@ class Hough:
                         distance = (((x - (size[0] / 2)) * sin((dt * a) + initial_angle)) + 
                                     ((y - (size[1] / 2)) * -cos((dt * a) + initial_angle)) +
                                     size[0] / 2)
-                        column = int(round(distance)) # column of the matrix closest to the distance
+                        # column of the matrix closest to the distance
+                        column = int(round(distance)) 
                         if column >= 0 and column < size[0]:
                             matrix[column][a] += 1
 
@@ -48,12 +51,12 @@ class Hough:
         return new_image
 
     def all_lines(self, image):
-	im_l = image.load()
-	lines = []
-	for x in xrange(image.size[0]):
+        im_l = image.load()
+        lines = []
+        for x in xrange(image.size[0]):
             for y in xrange(image.size[1]):
-		if im_l[x, y]:
-		    lines.append(self.angle_distance((x, y)))
+                if im_l[x, y]:
+                    lines.append(self.angle_distance((x, y)))
         return lines
     
     def find_angle_distance(self, image):
@@ -86,5 +89,5 @@ class Hough:
         return [self.angle_distance(p) for p in points]
 
     def angle_distance(self, point):
-	return (self.dt * point[1] + self.initial_angle, point[0] - self.size[0] / 2)
-	
+        return (self.dt * point[1] + self.initial_angle, point[0] - self.size[0] / 2)
+