-"""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
+import ransac
-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, logger):
+ # TODO comment
im_l = image.convert('L')
- if show_all:
- do_something(im_l, "ITU-R 601-2 luma transform")
-
- if verbose:
- print >> sys.stderr, "edge detection"
+ show_image(im_l, "ITU-R 601-2 luma transform")
+ logger("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)
- # if show_all:
- # do_something(im_hough, "peak extraction")
+ # im_hough.image = filters.peaks(im_hough.image)
+ # show_image(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")
-
- 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)
- if show_all:
- do_something(im_hough2, "second hough transform")
-
- im_h3 = filters.high_pass(im_hough2, 120)
- if show_all:
- do_something(im_h3, "third high pass filter")
-
- 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_h(im_h3)
- lines = []
- im_c = im_h2.convert('RGB').convert('RGB', (1, 0.5, 0.5, 0))
- draw_c = ImageDraw.Draw(im_c)
- bounds = []
-
- for line_l in lines_m:
- im_line = Image.new('L', im_h2.size)
- draw = ImageDraw.Draw(im_line)
- 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):
- 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))
- 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_h2, "second high pass filters")
+
+ im_h2 = filters.components(im_h2, 2)
+ show_image(im_h2, "components centers")
+
+ return im_h2
+
+def run_ransac(image):
+ # TODO comment
+ # TODO vizualize this
+ image_l = image.load()
+ width, height = image.size
+
+ data = []
+
+ for y in xrange(0, height):
+ for x in xrange(0, width):
+ if image_l[x, y] > 128:
+ data.append((x, y))
+
+ dist = 3
+ (line, points), (line2, points2) = ransac.ransac_duo(data, dist, 75, 15)
+ line_to_points = lambda (a, b, c), x: (x, (a*x + c) / (- b))
+ # TODO width should not be here vvv
+ # TODO refactor gridf to use standard equations instead of points
+ line = [line_to_points(line, 0), line_to_points(line, width - 1)]
+ line2 = [line_to_points(line2, 0), line_to_points(line2, width - 1)]
+ return [sorted(points), sorted(points2)], line, line2
+
+
+def find_lines(image, show_image, logger):
+ """Find lines in the *image*."""
+ # TODO refactor into smaller functions
+
+ logger("preprocessing")
+ show_image(image, "original image")
+
+ im_h = prepare(image, show_image, logger)
+
+ hough = Hough.default(im_h)
+
+ logger("hough transform")
+
+ im_h2 = transform(im_h, hough, show_image)
+
+ logger("finding the lines")
+
+ r_lines, l1, l2 = run_ransac(im_h2)
+
+ lines = map(hough.lines_from_list, r_lines)
+
+ # TODO refactor gridf to get rid of this:
+ bounds = sum(map(lambda l: [l[0], l[-1]], r_lines), [])
+ # sum(list, []) = flatten list
+
+ # TODO do this only if show_all is true:
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")
-
- return lines, lines_m[0][0], lines_m[1][0], bounds, hough1, im_h
+ show_image(image_g, "lines")
+
+ return lines, l1, l2, bounds, hough # TODO
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