-"""Go image recognition lines-finding module"""
+"""Lines finding module."""
+from functools import partial
import sys
from math import sin, cos, pi
from hough import Hough
def find_lines(image, show_all, do_something, verbose):
+ """Find lines in the *image*."""
+ # TODO refactor into smaller functions
if verbose:
print >> sys.stderr, "preprocessing"
if verbose:
print >> sys.stderr, "hough transform"
- hough1 = Hough(im_h.size)
- im_hough = hough1.transform(im_h)
+ im_hough = Hough.Transform(im_h)
if show_all:
- do_something(im_hough, "hough transform")
+ do_something(im_hough.image, "hough transform")
- # im_hough = filters.peaks(im_hough)
+ # im_hough.image = filters.peaks(im_hough.image)
# if show_all:
- # do_something(im_hough, "peak extraction")
+ # do_something(im_hough.image, "peak extraction")
- im_h2 = filters.high_pass(im_hough, 96)
+ im_h2 = im_hough.apply_filter(partial(filters.high_pass, height=96))
if show_all:
- do_something(im_h2, "second high pass filters")
+ do_something(im_h2.image, "second high pass filters")
- im_h2 = filters.components2(im_h2)
+ im_h2 = im_h2.apply_filter(filters.components2)
if show_all:
- do_something(im_h2, "components centers")
+ do_something(im_h2.image, "components centers")
if verbose:
print >> sys.stderr, "second hough transform"
- 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)
+ im_hough2 = Hough.Transform(im_h2.image)
if show_all:
- do_something(im_hough2, "second hough transform")
+ do_something(im_hough2.image, "second hough transform")
- im_h3 = filters.high_pass(im_hough2, 120)
+ im_h3 = im_hough2.apply_filter(partial(filters.high_pass, height=120))
if show_all:
- do_something(im_h3, "third high pass filter")
+ do_something(im_h3.image, "third high pass filter")
- im_h3 = filters.components(im_h3)
+ im_h3 = im_h3.apply_filter(filters.components)
if show_all:
- do_something(im_h3, "half centers")
+ do_something(im_h3.image, "half centers")
if verbose:
print >> sys.stderr, "finding the grid"
- lines_m = hough2.all_lines_h(im_h3)
+ lines_m = im_h3.all_lines_h()
lines = []
- im_c = im_h2.convert('RGB').convert('RGB', (1, 0.5, 0.5, 0))
+ im_c = im_h2.image.convert('RGB').convert('RGB', (1, 0.5, 0.5, 0))
draw_c = ImageDraw.Draw(im_c)
bounds = []
line_points = set()
for line in line_l:
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, im_line):
+ 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):
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))
+ lines.append(im_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, hough1, im_h
+ return lines, lines_m[0][0], lines_m[1][0], bounds, im_hough
def combine(image1, image2):
+ """Return a list of points that are present in both images."""
im_l1 = image1.load()
im_l2 = image2.load()
return on_both
def line_from_angl_dist((angle, distance), size):
+ """Take *angle* and *distance* (from the center of the image) of a line and
+ size of the image. Return the line represented by two points."""
if pi / 4 < angle < 3 * pi / 4:
y1 = - size[1] / 2
x1 = int(round((y1 * cos(angle) + distance) / sin(angle))) + size[0] / 2