X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/ecc0929cb0e011db2825e79d7495d7ef7b113e1e..3f247835cf0314b09b329cb54132d6e529065fd1:/imago_pack/linef.py diff --git a/imago_pack/linef.py b/imago_pack/linef.py index 4e35781..667442c 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 @@ -12,70 +13,74 @@ except ImportError, msg: 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, 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") + show_image(im_h2, "second high pass filters") im_h2 = filters.components2(im_h2) - if show_all: - do_something(im_h2, "components centers") + show_image(im_h2, "components centers") + + return im_h2 +def find_lines(image, show_image, verbose): + """Find lines in the *image*.""" + # TODO refactor into smaller functions + if verbose: - print >> sys.stderr, "second hough transform" + def logger(m): + print >> sys.stderr, m + else: + def logger(m): + pass + + 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("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" + logger("finding the grid") lines_m = hough2.all_lines_h(im_h3) lines = [] @@ -89,29 +94,29 @@ 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) + 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() @@ -124,6 +129,8 @@ 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