from PIL import Image
+
from commons import clear
def edge_detection(image):
print "edge detection"
for x in range(2, image.size[0] - 2):
for y in range(2, image.size[1] - 2):
- pix = sum([sum([image_l[a, b] for b in range(y - 2, y + 3)]) for a in range(x - 2, x + 3)]) - (25 * image_l[x, y])
+ pix = (sum([sum(
+ [image_l[a, b]
+ for b in range(y - 2, y + 3)])
+ for a in range(x - 2, x + 3)])
+ - (25 * image_l[x, y]))
if pix > 255:
pix = 255
if pix < 0:
new_image_l[x, y] = pix
return new_image
-def high_pass(image, high_pass):
+def high_pass(image, height):
image_l = image.load()
new_image = Image.new('L', image.size)
new_image_l = new_image.load()
print "high pass filter"
for x in xrange(image.size[0]):
for y in xrange(image.size[1]):
- if image_l[x, y] < high_pass:
+ if image_l[x, y] < height:
new_image_l[x, y] = 0
else:
new_image_l[x, y] = image_l[x, y]
-from PIL import Image
from math import sin, cos, pi
+
+from PIL import Image
+
from commons import clear
class Hough:
def __init__(self, size):
- self.size = size
+ self.size = size
self.dt = pi / size[1]
self.initial_angle = (pi / 4) + (self.dt / 2)
distance = (((x - (size[0] / 2)) * sin((dt * a) + initial_angle)) +
((y - (size[1] / 2)) * -cos((dt * a) + initial_angle)) +
size[0] / 2)
- column = int(round(distance)) # column of the matrix closest to the distance
+ # column of the matrix closest to the distance
+ column = int(round(distance))
if column >= 0 and column < size[0]:
matrix[column][a] += 1
return new_image
def all_lines(self, image):
- im_l = image.load()
- lines = []
- for x in xrange(image.size[0]):
+ im_l = image.load()
+ lines = []
+ for x in xrange(image.size[0]):
for y in xrange(image.size[1]):
- if im_l[x, y]:
- lines.append(self.angle_distance((x, y)))
+ if im_l[x, y]:
+ lines.append(self.angle_distance((x, y)))
return lines
def find_angle_distance(self, image):
return [self.angle_distance(p) for p in points]
def angle_distance(self, point):
- return (self.dt * point[1] + self.initial_angle, point[0] - self.size[0] / 2)
-
+ return (self.dt * point[1] + self.initial_angle, point[0] - self.size[0] / 2)
+
#!/usr/bin/env python
-"""Usage: imago.py file
- analyses the given file
- imago.py file --debug
- shows every step of the computation
- imago.py --help
- shows this help"""
+"""Usage:
+imago.py file
+ analyses the given file
+imago.py file --debug
+ shows every step of the computation
+imago.py --help
+ shows this help
+
+"""
import sys
import math
+
try:
import Image, ImageDraw
except ImportError, msg:
print >>sys.stderr, msg
sys.exit(1)
+
import im_debug
-import filter
+import filters
from hough import Hough
class UsageError(Exception):
print >>sys.stderr, msg
return 1
if show_all:
- im_debug.show(image, "original image")
+ im_debug.show(image, "original image")
im_l = image.convert('L')
if show_all:
im_debug.show(im_l, "ITU-R 601-2 luma transform")
- im_edges = filter.edge_detection(im_l)
+ im_edges = filters.edge_detection(im_l)
if show_all:
im_debug.show(im_edges, "edge detection")
- im_h = filter.high_pass(im_edges, 100)
+ im_h = filters.high_pass(im_edges, 100)
if show_all:
- im_debug.show(im_h, "high pass filter")
+ im_debug.show(im_h, "high pass filters")
hough1 = Hough(im_h.size)
im_hough = hough1.transform(im_h)
if show_all:
im_debug.show(im_hough, "hough transform")
- im_h2 = filter.high_pass(im_hough, 120)
+ im_h2 = filters.high_pass(im_hough, 120)
if show_all:
- im_debug.show(im_h2, "second high pass filter")
+ im_debug.show(im_h2, "second high pass filters")
hough2 = Hough(im_h2.size)
im_hough2 = hough2.transform(im_h2)
if show_all:
im_debug.show(im_hough2, "second hough transform")
- im_h3 = filter.high_pass(im_hough2, 120)
+ im_h3 = filters.high_pass(im_hough2, 120)
if show_all:
- im_debug.show(im_h3, "third high pass filter")
+ im_debug.show(im_h3, "third high pass filters")
lines = hough2.find_angle_distance(im_h3)
draw = ImageDraw.Draw(im_lines)
for line in lines:
- draw.line(line_from_angl_dist(line, im_h2.size), fill=255)
+ draw.line(line_from_angl_dist(line, im_h2.size), fill=255)
if show_all:
- im_debug.show(im_lines, "lines")
+ im_debug.show(im_lines, "lines")
im_c = combine(im_h2, im_lines)
if show_all:
lines = hough1.all_lines(im_c)
draw = ImageDraw.Draw(image)
for line in lines:
- draw.line(line_from_angl_dist(line, image.size), fill=(120, 255, 120))
+ draw.line(line_from_angl_dist(line, image.size), fill=(120, 255, 120))
im_debug.show(image, "the grid")
im_l = image.load()
last = False
for y in xrange(image.size[1]):
- for x in xrange(image.size[0]):
- if im_l[x,y] and last:
+ for x in xrange(image.size[0]):
+ if im_l[x, y] and last:
im_l[x, y] = 0
- last = False
- elif im_l[x, y]:
- last = True
- elif last:
- last = False
+ last = False
+ elif im_l[x, y]:
+ last = True
+ elif last:
+ last = False
def combine(image1, image2):
im_l1 = image1.load()
for x in xrange(image1.size[0]):
for y in xrange(image1.size[1]):
- if im_l1[x, y] and im_l2[x, y]:
- im_nl[x, y] = 255
+ if im_l1[x, y] and im_l2[x, y]:
+ im_nl[x, y] = 255
return im_n
def line_from_angl_dist((angle, distance), size):