if verbose:
print >> sys.stderr, "second hough transform"
- hough2 = Hough(im_h2.size)
+ hough2 = Hough(im_h2.size)
+ # 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 = hough2.transform(im_h2)
if show_all:
do_something(im_hough2, "second hough transform")
if show_all:
do_something(im_h3, "third high pass filter")
- im_h3 = filters.half_centers(im_h3)
+ im_h3 = filters.components(im_h3)
if show_all:
do_something(im_h3, "half centers")
if verbose:
print >> sys.stderr, "finding the grid"
- lines_m = hough2.all_lines(im_h3)
+ lines_m = hough2.all_lines_h(im_h3)
lines = []
+ im_c = im_h2.convert('RGB').convert('RGB', (1, 0.5, 0.5, 0))
+ draw_c = ImageDraw.Draw(im_c)
- for line in lines_m:
+ for line_l in lines_m:
im_line = Image.new('L', im_h2.size)
draw = ImageDraw.Draw(im_line)
- draw.line(line_from_angl_dist(line, im_h2.size), fill=255, width=5)
- if show_all:
- do_something(im_line, "line")
- im_c = combine(im_h2, im_line)
- if show_all:
- do_something(im_c, "hough x lines")
- lines.append(hough1.all_lines(im_c))
+ line_points = set()
+ for line in line_l:
+ draw.line(line_from_angl_dist(line, im_h2.size), fill=255, width=5)
+ draw_c.line(line_from_angl_dist(line, im_c.size), fill=(70, 70, 70), width=5)
+ 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))
+ lines.append(hough1.lines_from_list(line_points))
+
+ if show_all:
+ do_something(im_c, "hough x lines")
image_g = image.copy()
draw = ImageDraw.Draw(image_g)
suma = 0.
for i in range(-2, 3):
for j in range(-2, 3):
- suma += sum(image.getpixel((x + i, y + j)))
+ try:
+ suma += sum(image.getpixel((x + i, y + j)))
+ except IndexError:
+ pass
suma /= 3 * 25
if suma < 55:
return 'B'
im_l1 = image1.load()
im_l2 = image2.load()
- im_n = Image.new('L', image1.size)
- im_nl = im_n.load()
+ on_both = []
for x in xrange(image1.size[0]):
for y in xrange(image1.size[1]):
if im_l1[x, y] and im_l2[x, y]:
- im_nl[x, y] = 255
- return im_n
+ on_both.append((x, y))
+ return on_both
def line_from_angl_dist((angle, distance), size):
x1 = - size[0] / 2
intersections = []
for (angl1, dist1) in sorted(lines[1], key=itemgetter(1)):
line = []
- for (angl2, dist2) in lines[0]:
+ for (angl2, dist2) in sorted(lines[0], key=itemgetter(1)):
if abs(angl1 - angl2) > 0.4:
x = - ((dist2 / math.cos(angl2))-(dist1 / math.cos(angl1))) / (math.tan(angl1) - math.tan(angl2))
y = (math.tan(angl1) * x) - (dist1 / math.cos(angl1))
- line.append((int(x + size[0] / 2), int(y + size[1] / 2)))
+ if (-size[0] / 2 < x < size[0] / 2 and
+ -size[1] / 2 < y < size[1] / 2):
+ line.append((int(x + size[0] / 2), int(y + size[1] / 2)))
intersections.append(line)
return intersections