X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/ecc0929cb0e011db2825e79d7495d7ef7b113e1e..45b6aba3bbf3aea1bacad077387ae77a1deb1a3c:/imago_pack/intrsc.py?ds=sidebyside

diff --git a/imago_pack/intrsc.py b/imago_pack/intrsc.py
index 445c447..9fabcd5 100644
--- a/imago_pack/intrsc.py
+++ b/imago_pack/intrsc.py
@@ -1,11 +1,13 @@
-"""Imago intersections module"""
+"""Imago intersections module."""
 
 from math import cos, tan, pi
 from operator import itemgetter
 
 import ImageDraw
 
+import filters
 import k_means
+import output
 
 def dst(line):
     """Return normalized line."""
@@ -24,6 +26,7 @@ def dst_sort(lines):
 
 def board(image, lines, show_all, do_something):
     """Compute intersections, find stone colors and return board situation."""
+    # TODO refactor show_all, do_something
     lines = [dst_sort(l) for l in lines]
     intersections = intersections_from_angl_dist(lines, image.size)
 
@@ -35,10 +38,14 @@ def board(image, lines, show_all, do_something):
                 draw.point((x , y), fill=(120, 255, 120))
         do_something(image_g, "intersections")
 
+    image_c = filters.color_enhance(image)
+    if show_all:
+        do_something(image_c, "white balance")
+    
     board_raw = []
     
     for line in intersections:
-        board_raw.append([stone_color_raw(image, intersection) for intersection in
+        board_raw.append([stone_color_raw(image_c, intersection) for intersection in
                       line])
     board_raw = sum(board_raw, [])
 
@@ -49,12 +56,16 @@ def board(image, lines, show_all, do_something):
     if show_all:
         import matplotlib.pyplot as pyplot
         pyplot.scatter(luma, saturation, 
-                       color=[(s[2][0]/255., s[2][1]/255., s[2][2]/255., 1.) 
-                              for s in board_raw])
+                       color=[(s[2][0]/255.,
+                               s[2][1]/255.,
+                               s[2][2]/255., 1.) 
+                                   for s in board_raw])
+        pyplot.xlim(0,1)
+        pyplot.ylim(0,1)
         pyplot.show()
 
     clusters = k_means.cluster(3, 2,zip(zip(luma, saturation), range(len(luma))),
-                               [[0., 0.], [0.5, 0.5], [1., 1.]])
+                               [[0., 0.5], [0.5, 0.5], [1., 0.5]])
    #clusters.sort(key=mean_luma)
 
     if show_all:
@@ -64,6 +75,8 @@ def board(image, lines, show_all, do_something):
                                                  color=(0,1,0,1))
         pyplot.scatter([d[0][0] for d in clusters[2]], [d[0][1] for d in clusters[2]],
                                                  color=(0,0,1,1))
+        pyplot.xlim(0,1)
+        pyplot.ylim(0,1)
         pyplot.show()
 
     clusters[0] = [(p[1], 'B') for p in clusters[0]]
@@ -76,17 +89,19 @@ def board(image, lines, show_all, do_something):
     
     board_r = []
 
+    #TODO 19 should be a size parameter
     try:
         for i in xrange(19):
-            board_r.append([])
             for _ in xrange(19):
-                board_r[i].append(board_rg.next())
+                board_r.append(board_rg.next())
     except StopIteration:
         pass
+    
 
-    return board_r
+    return output.Board(19, board_r)
 
 def mean_luma(cluster):
+    """Return mean luma of the *cluster* of points."""
     return sum(c[0][0] for c in cluster) / float(len(cluster))
 
 def intersections_from_angl_dist(lines, size, get_all=True):
@@ -106,19 +121,29 @@ def intersections_from_angl_dist(lines, size, get_all=True):
         intersections.append(line)
     return intersections
    
+def RGBtoSat(c):
+    """Using the HSI color model."""
+    max_diff = max(c) - min(c)
+    if max_diff == 0:
+        return 0
+    else:
+        return 1. - ((3. * min(c)) / sum(c)) 
+
 def stone_color_raw(image, (x, y)):
     """Given image and coordinates, return stone color."""
+    size = 3 
     suma = []
-    for i in range(-2, 3):
-        for j in range(-2, 3):
+    t = 0
+    for i in range(-size, size + 1):
+        for j in range(-size, size + 1):
             try:
                 suma.append(image.getpixel((x + i, y + j)))
+                t += 1
             except IndexError:
                 pass
-    luma = sum([0.30 * sum(s[0] for s in suma) / 25., 0.59 * sum(s[1] for s in suma) / 25., 
-            0.11 * sum(s[2] for s in suma) / 25.]) / 255.
-    saturation = sum(max(s) - min(s) / float(255. - abs(max(s) + min(s) - 255))
-                     for s in suma) / (25. * 255.)
-    color = [sum(s[0] for s in suma) / 25., sum(s[1] for s in suma) / 25.,
-             sum(s[2] for s in suma) / 25.]
+    luma = sum([0.30 * sum(s[0] for s in suma) / t, 0.59 * sum(s[1] for s in suma) / t, 
+            0.11 * sum(s[2] for s in suma) / t]) / 255.
+    saturation = sum(RGBtoSat(s) for s in suma) / t
+    color = [sum(s[0] for s in suma) / t, sum(s[1] for s in suma) / t,
+             sum(s[2] for s in suma) / t]
     return luma, saturation, color