-"""Go image recognition lines-finding module"""
+"""Lines finding module."""
+from functools import partial
import sys
from math import sin, cos, pi
import filters
from hough import Hough
-def find_lines(image, show_all, do_something, verbose):
-
- if verbose:
- print >> sys.stderr, "preprocessing"
-
- if show_all:
- do_something(image, "original image")
-
+def prepare(image, show_image, verbose):
+ # TODO comment
im_l = image.convert('L')
- if show_all:
- do_something(im_l, "ITU-R 601-2 luma transform")
+ show_image(im_l, "ITU-R 601-2 luma transform")
if verbose:
print >> sys.stderr, "edge detection"
-
im_edges = filters.edge_detection(im_l)
- if show_all:
- do_something(im_edges, "edge detection")
+ show_image(im_edges, "edge detection")
im_h = filters.high_pass(im_edges, 100)
- if show_all:
- do_something(im_h, "high pass filters")
-
- if verbose:
- print >> sys.stderr, "hough transform"
+ show_image(im_h, "high pass filters")
- hough1 = Hough(im_h.size)
- im_hough = hough1.transform(im_h)
- if show_all:
- do_something(im_hough, "hough transform")
+ return im_h
+
+def transform(image, hough, show_image):
+ # TODO comment
+ im_hough = hough.transform(image)
+ show_image(im_hough, "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)
- if show_all:
- do_something(im_h2, "second high pass filters")
+ show_image(im_h2, "second high pass filters")
im_h2 = filters.components2(im_h2)
+ show_image(im_h2, "components centers")
+
+ return im_h2
+
+def find_lines(image, show_all, do_something, verbose):
+ """Find lines in the *image*."""
+ # TODO refactor into smaller functions
+
+ def nothing(a, b):
+ pass
+
if show_all:
- do_something(im_h2, "components centers")
+ show_image = do_something
+ else:
+ show_image = nothing
+
+ if verbose:
+ print >> sys.stderr, "preprocessing"
+
+ show_image(image, "original image")
+
+ im_h = prepare(image, show_image, verbose)
+
+ hough = Hough.default(im_h)
+
+ if verbose:
+ print >> sys.stderr, "hough transform"
+
+ im_h2 = transform(im_h, hough, show_image)
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)
+ hough2 = Hough.default(im_h2)
im_hough2 = hough2.transform(im_h2)
- if show_all:
- do_something(im_hough2, "second hough transform")
+ show_image(im_hough2, "second hough transform")
im_h3 = filters.high_pass(im_hough2, 120)
- if show_all:
- do_something(im_h3, "third high pass filter")
+ show_image(im_h3, "third high pass filter")
im_h3 = filters.components(im_h3)
- if show_all:
- do_something(im_h3, "half centers")
+ show_image(im_h3, "half centers")
if verbose:
print >> sys.stderr, "finding the grid"
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)
+ 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):
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(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(im_c, "hough x lines")
+ show_image(im_c, "hough x lines")
image_g = image.copy()
draw = ImageDraw.Draw(image_g)
for line in [l for s in lines for l in s]:
draw.line(line_from_angl_dist(line, image.size), fill=(120, 255, 120))
- if show_all:
- do_something(image_g, "lines")
+ show_image(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, 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
projekty / imago.git / blobdiff