X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/ecc0929cb0e011db2825e79d7495d7ef7b113e1e..f662aac90eb7fb03ddca08366b83f0fd063b9e86:/imago_pack/linef.py diff --git a/imago_pack/linef.py b/imago_pack/linef.py index 4e35781..06483a3 100644 --- a/imago_pack/linef.py +++ b/imago_pack/linef.py @@ -1,5 +1,6 @@ -"""Go image recognition lines-finding module""" +"""Lines finding module.""" +from functools import partial import sys from math import sin, cos, pi @@ -13,6 +14,8 @@ import filters 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" @@ -38,48 +41,46 @@ def find_lines(image, show_all, do_something, verbose): 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 = [] @@ -89,12 +90,13 @@ def find_lines(image, show_all, do_something, verbose): 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]] @@ -109,9 +111,10 @@ def find_lines(image, show_all, do_something, verbose): 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() @@ -124,6 +127,8 @@ def combine(image1, image2): 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