return im_h
+def transform(image, hough, show_all, do_something):
+ im_hough = hough.transform(image)
+ if show_all:
+ 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_h2 = filters.high_pass(im_hough, 96)
+ if show_all:
+ do_something(im_h2, "second high pass filters")
+
+ im_h2 = filters.components2(im_h2)
+ if show_all:
+ do_something(im_h2, "components centers")
+
+ return im_h2
def find_lines(image, show_all, do_something, verbose):
"""Find lines in the *image*."""
do_something(image, "original image")
im_h = prepare(image, show_all, do_something, verbose)
-
- if verbose:
- print >> sys.stderr, "hough transform"
- im_hough = Hough.Transform(im_h)
- if show_all:
- do_something(im_hough.image, "hough transform")
+ hough = Hough.default(im_h)
- # 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))
- if show_all:
- do_something(im_h2.image, "second high pass filters")
-
- im_h2 = im_h2.apply_filter(filters.components2)
- if show_all:
- do_something(im_h2.image, "components centers")
+ if verbose:
+ print >> sys.stderr, "hough transform"
+
+ im_h2 = transform(im_h, hough, show_all, do_something)
if verbose:
print >> sys.stderr, "second hough transform"
# 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:
- 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:
- 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:
- do_something(im_h3.image, "half centers")
+ do_something(im_h3, "half centers")
if verbose:
print >> sys.stderr, "finding the grid"
- lines_m = im_h3.all_lines_h()
+ lines_m = hough2.all_lines_h(im_h3)
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.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))
- 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]]
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."""