refactor hough
authorTomas Musil <tomik.musil@gmail.com>
Wed, 25 Jun 2014 00:13:49 +0000 (02:13 +0200)
committerTomas Musil <tomik.musil@gmail.com>
Wed, 25 Jun 2014 00:13:49 +0000 (02:13 +0200)
imago_pack/hough.py
imago_pack/linef.py

index deeb9d8..6235b5d 100644 (file)
@@ -9,24 +9,26 @@ import pcf
 class Hough:
     """Hough transform.
 
 class Hough:
     """Hough transform.
 
-    This class stores the transformed image and metainformation.
+    This class stores the parameters of the transformation.
     """
     """
-    def __init__(self, size, dt, init_angle, image):
+    def __init__(self, size, dt, init_angle):
         self.size = size # this is a tuple (width, height)
         self.dt = dt     # this is the angle step in hough transform
         self.initial_angle = init_angle
         self.size = size # this is a tuple (width, height)
         self.dt = dt     # this is the angle step in hough transform
         self.initial_angle = init_angle
-        self.image = image
 
     @classmethod
 
     @classmethod
-    def Transform(cls, image):
-        """Create Hough transform of the *image* with default parameters."""
-        # TODO rename to transform?
+    def default(cls, image):
+        """Default parameters for Hough transform of the *image*."""
         size = image.size
         dt = pi / size[1]
         initial_angle = (pi / 4) + (dt / 2)
         size = image.size
         dt = pi / size[1]
         initial_angle = (pi / 4) + (dt / 2)
-        image_s = pcf.hough(size, image.tostring(), initial_angle, dt)
-        image_t = Image.fromstring('L', size, image_s)
-        return cls(size, dt, initial_angle, image_t)
+        return cls(size, dt, initial_angle)
+
+    def transform(self, image):
+        image_s = pcf.hough(self.size, image.tostring(), self.initial_angle,
+                            self.dt)
+        image_t = Image.fromstring('L', self.size, image_s)
+        return image_t
 
     def apply_filter(self, filter_f):
         return Hough(self.size, self.dt, self.initial_angle,
 
     def apply_filter(self, filter_f):
         return Hough(self.size, self.dt, self.initial_angle,
@@ -40,9 +42,9 @@ class Hough:
             lines.append(self.angle_distance(p))
         return lines
 
             lines.append(self.angle_distance(p))
         return lines
 
-    def all_lines_h(self):
+    def all_lines_h(self, image):
         # TODO what is this?
         # TODO what is this?
-        im_l = self.image.load()
+        im_l = image.load()
         lines1 = []
         for x in xrange(self.size[0] / 2):
             for y in xrange(self.size[1]):
         lines1 = []
         for x in xrange(self.size[0] / 2):
             for y in xrange(self.size[1]):
index b098257..03de6bd 100644 (file)
@@ -44,24 +44,27 @@ def find_lines(image, show_all, do_something, verbose):
 
     im_h = prepare(image, show_all, do_something, verbose)
        
 
     im_h = prepare(image, show_all, do_something, verbose)
        
+
+    hough = Hough.default(im_h)
+
     if verbose:
         print >> sys.stderr, "hough transform"
 
     if verbose:
         print >> sys.stderr, "hough transform"
 
-    im_hough = Hough.Transform(im_h)
+    im_hough = hough.transform(im_h)
     if show_all:
     if show_all:
-        do_something(im_hough.image, "hough transform")
+        do_something(im_hough, "hough transform")
 
    # im_hough.image = filters.peaks(im_hough.image)
    # if show_all:
    #     do_something(im_hough.image, "peak extraction")
                
 
    # im_hough.image = filters.peaks(im_hough.image)
    # if show_all:
    #     do_something(im_hough.image, "peak extraction")
                
-    im_h2 = im_hough.apply_filter(partial(filters.high_pass, height=96))
+    im_h2 = filters.high_pass(im_hough, 96)
     if show_all:
     if show_all:
-        do_something(im_h2.image, "second high pass filters")
+        do_something(im_h2, "second high pass filters")
 
 
-    im_h2 = im_h2.apply_filter(filters.components2)
+    im_h2 = filters.components2(im_h2)
     if show_all:
     if show_all:
-        do_something(im_h2.image, "components centers")
+        do_something(im_h2, "components centers")
 
     if verbose:
         print >> sys.stderr, "second hough transform"
 
     if verbose:
         print >> sys.stderr, "second hough transform"
@@ -69,24 +72,25 @@ def find_lines(image, show_all, do_something, verbose):
     # im_hough might be used instead im_h2, but at the moment it brings a lot of
     # noise to the second transform, which later confuses the center-finding
     # mechanism (which is not very robust yet)
     # im_hough might be used instead im_h2, but at the moment it brings a lot of
     # noise to the second transform, which later confuses the center-finding
     # mechanism (which is not very robust yet)
-    im_hough2 = Hough.Transform(im_h2.image)
+    hough2 = Hough.default(im_h2)
+    im_hough2 = hough2.transform(im_h2)
     if show_all:
     if show_all:
-        do_something(im_hough2.image, "second hough transform")
+        do_something(im_hough2, "second hough transform")
 
 
-    im_h3 = im_hough2.apply_filter(partial(filters.high_pass, height=120))
+    im_h3 = filters.high_pass(im_hough2, 120)
     if show_all:
     if show_all:
-        do_something(im_h3.image, "third high pass filter")
+        do_something(im_h3, "third high pass filter")
      
      
-    im_h3 = im_h3.apply_filter(filters.components)
+    im_h3 = filters.components(im_h3)
     if show_all:
     if show_all:
-        do_something(im_h3.image, "half centers")
+        do_something(im_h3, "half centers")
 
     if verbose:
         print >> sys.stderr, "finding the grid"
 
 
     if verbose:
         print >> sys.stderr, "finding the grid"
 
-    lines_m = im_h3.all_lines_h()
+    lines_m = hough2.all_lines_h(im_h3)
     lines = []
     lines = []
-    im_c = im_h2.image.convert('RGB').convert('RGB', (1, 0.5, 0.5, 0))
+    im_c = im_h2.convert('RGB').convert('RGB', (1, 0.5, 0.5, 0))
     draw_c = ImageDraw.Draw(im_c)
     bounds = []
 
     draw_c = ImageDraw.Draw(im_c)
     bounds = []
 
@@ -98,11 +102,11 @@ def find_lines(image, show_all, do_something, verbose):
             draw.line(line_from_angl_dist(line, im_h2.size), fill=255, width=7)
             draw_c.line(line_from_angl_dist(line, im_c.size),
                         fill=(70, 70, 70), width=7)
             draw.line(line_from_angl_dist(line, im_h2.size), fill=255, width=7)
             draw_c.line(line_from_angl_dist(line, im_c.size),
                         fill=(70, 70, 70), width=7)
-            for p in combine(im_h2.image, im_line):
+            for p in combine(im_h2, im_line):
                 line_points.add(p)
         for point in line_points:
             draw_c.point(point, fill=(120, 255, 120))
                 line_points.add(p)
         for point in line_points:
             draw_c.point(point, fill=(120, 255, 120))
-        lines.append(im_hough.lines_from_list(line_points))
+        lines.append(hough.lines_from_list(line_points))
         line_points = list(line_points)
         line_points.sort()
         bounds += [line_points[0], line_points[-1]]
         line_points = list(line_points)
         line_points.sort()
         bounds += [line_points[0], line_points[-1]]
@@ -117,7 +121,7 @@ def find_lines(image, show_all, do_something, verbose):
     if show_all:
         do_something(image_g, "lines")
    
     if show_all:
         do_something(image_g, "lines")
    
-    return lines, lines_m[0][0], lines_m[1][0], bounds, im_hough
+    return lines, lines_m[0][0], lines_m[1][0], bounds, hough
 
 def combine(image1, image2):
     """Return a list of points that are present in both images."""
 
 def combine(image1, image2):
     """Return a list of points that are present in both images."""