X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/3c7eb1408a615d8bdc5e85c04f90c45d620d1e48..15a3ebaaddc23a2f69048d1def5a7f960d141d6b:/imago.py?ds=inline

diff --git a/imago.py b/imago.py
index 0fee41f..d234fec 100755
--- a/imago.py
+++ b/imago.py
@@ -1,11 +1,22 @@
 #!/usr/bin/env python
-"""Usage: imago.py file"""
+
+"""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 Image
+import math
+try:
+    import Image, ImageDraw
+except ImportError, msg:
+    print >>sys.stderr, msg
+    sys.exit(1)
 import im_debug
 import filter
-import hough
+from hough import Hough
 
 class UsageError(Exception):
     def __init__(self, msg):
@@ -13,35 +24,122 @@ class UsageError(Exception):
 
 def main(*argv):
     """Main function of the program."""
+    
+    show_all = False
+
     try:
         if argv is ():
             argv = sys.argv[1:]
             if argv == []:
                 raise UsageError('Missing filename')
         if "--help" in argv:
-                print __doc__
-                return 0    
+            print __doc__
+            return 0
+        if "--debug" in argv:
+            show_all = True
     except UsageError, err:
         print >>sys.stderr, err.msg, "(\"imago.py --help\" for help)"
         return 2
 
-    #TODO exception on file error
-    image = Image.open(argv[0])
-    #im_debug.show(image, "original image")
+    try:
+        image = Image.open(argv[0])
+    except IOError, msg:
+        print >>sys.stderr, msg
+        return 1
+    if show_all:
+       im_debug.show(image, "original image")
 
     im_l = image.convert('L')
-    #im_debug.show(im_l, "ITU-R 601-2 luma transform")
+    if show_all:
+        im_debug.show(im_l, "ITU-R 601-2 luma transform")
 
     im_edges = filter.edge_detection(im_l)
-    #im_debug.show(im_edges, "edge detection")
+    if show_all:    
+        im_debug.show(im_edges, "edge detection")
+
+    im_h = filter.high_pass(im_edges, 100)
+    if show_all:
+        im_debug.show(im_h, "high pass filter")
+    
+    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)
+    if show_all:
+        im_debug.show(im_h2, "second high pass filter")
+
+    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)
+    if show_all:
+	im_debug.show(im_h3, "third high pass filter")
+     
+    lines = hough2.find_angle_distance(im_h3)
+
+    im_lines = Image.new('L', im_h2.size)
+
+    draw = ImageDraw.Draw(im_lines)
 
-    im_h = filter.high_pass(im_edges, 80)
-    #im_debug.show(im_h, "high pass filter")
+    for line in lines:
+	draw.line(line_from_angl_dist(line, im_h2.size), fill=255)
+    if show_all:
+    	im_debug.show(im_lines, "lines")
 
-    im_hough = hough.transform(im_h)
-    im_debug.show(im_hough, "hough transform")
+    im_c = combine(im_h2, im_lines)
+    if show_all:
+        im_debug.show(im_c, "first hough x lines")
+
+    collapse(im_c)
+    if show_all:
+        im_debug.show(im_c, "optimalised hough")
+
+    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))
+
+    im_debug.show(image, "the grid")
 
     return 0
 
+def collapse(image):
+    #HACK
+    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:
+                im_l[x, y] = 0
+		last = False
+	    elif im_l[x, y]:
+		last = True
+	    elif last:
+		last = False
+
+def combine(image1, image2):
+    im_l1 = image1.load()
+    im_l2 = image2.load()
+
+    im_n = Image.new('L', image1.size)
+    im_nl = im_n.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
+    return im_n
+
+def line_from_angl_dist((angle, distance), size):
+    x1 = - size[0] / 2
+    y1 = int(round((x1 * math.sin(angle) - distance)/math.cos(angle))) + size[1] / 2
+    x2 = size[0] / 2 
+    y2 = int(round((x2 * math.sin(angle) - distance)/math.cos(angle))) + size[1] / 2
+    return [(0, y1), (size[0] - 1, y2)]
+
 if __name__ == '__main__':
     sys.exit(main())