X-Git-Url: http://git.tomasm.cz/imago.git/blobdiff_plain/f2cbb185a9e09efb970203c376e5abcaa872c867..b002067a40eafa06b3bf2a19e863232aee1a6006:/filters.py?ds=sidebyside diff --git a/filters.py b/filters.py index e770724..ce955a4 100644 --- a/filters.py +++ b/filters.py @@ -1,22 +1,17 @@ from PIL import Image -from commons import clear - -def edge_detection(image): - clear() - print "edge detection" - +def edge_detection(image, size): image_l = image.load() new_image = Image.new('L', image.size) new_image_l = new_image.load() - for x in range(2, image.size[0] - 2): - for y in range(2, image.size[1] - 2): + for x in xrange(size, image.size[0] - size): + for y in xrange(size, image.size[1] - size): 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])) + for b in range(y - size, y + size + 1)]) + for a in range(x - size, x + size + 1)]) + - (((2 * size + 1) ** 2) * image_l[x, y])) if pix > 255: pix = 255 if pix < 0: @@ -25,9 +20,6 @@ def edge_detection(image): return new_image def peaks(image): - clear() - print "peak extraction" - image_l = image.load() new_image = Image.new('L', image.size) new_image_l = new_image.load() @@ -47,9 +39,6 @@ def peaks(image): return new_image def high_pass(image, height): - clear() - print "high pass filter" - image_l = image.load() new_image = Image.new('L', image.size) new_image_l = new_image.load() @@ -64,15 +53,12 @@ def high_pass(image, height): return new_image def components(image): - clear() - print "components center filter" - image_l = image.load() new_image = Image.new('L', image.size) new_image_l = new_image.load() - components = [] - comp_counter = 0 + components = [None] + comp_counter = 1 for y in xrange(1, image.size[1] - 1): for x in xrange(1, image.size[0] - 1): @@ -113,7 +99,63 @@ def components(image): x_c += x y_c += y c += 1 - new_image_l[int(round(float(x_c)/c)), int(round(float(y_c)/c))] = 255 + new_image_l[int(round(float(x_c)/c)), int(round(float(y_c)/c))] = 255 + + + return new_image + +def components2(image): + image_l = image.load() + new_image = Image.new('L', image.size) + new_image_l = new_image.load() + + components = [None] + comp_counter = 1 + + for y in xrange(2, image.size[1] - 2): + for x in xrange(2, image.size[0] - 2): + if image_l[x, y]: + + s = {0} + for (a, b) in [(a,b) for a in range(x - 2, x + 3) + for b in range(y - 2, y + 1)]: + if not (b == y and a >= x): + s.add(new_image_l[a, b]) + + if len(s) == 1: + components.append(set()) + new_image_l[x, y] = comp_counter + components[comp_counter].add((x, y)) + comp_counter += 1 + elif len(s) == 2: + s.remove(0) + c = s.pop() + new_image_l[x, y] = c + components[c].add((x,y)) + else: + s.remove(0) + c1 = s.pop() + components[c1].add((x, y)) + new_image_l[x, y] = c1 + for c2 in s: + for (x1, y1) in components[c2]: + new_image_l[x1, y1] = c1 + components[c1] = components[c1] | components[c2] + components[c2] = None + + new_image = Image.new('L', image.size) + new_image_l = new_image.load() + + for component in components: + if component: + x_c = 0 + y_c = 0 + c = 0 + for (x, y) in component: + x_c += x + y_c += y + c += 1 + new_image_l[int(round(float(x_c)/c)), int(round(float(y_c)/c))] = 255 - return new_image \ No newline at end of file + return new_image