def main():
try:
image = Image.open(argv[1])
#image = cv2.imread(argv[1])
except:
image = openImage()
#Calling edgedetection with an image as argument returns a histogram with the frequencies
#magnitudes, pixelsorientation = edgedetection(image)
#hist, bins = np.histogram(magnitudes.values(), bins=10)
#width = 0.7 * (bins[1]-bins[0])
#center = (bins[:-1] + bins[1:])/2
#threshold = delimitthreshold(magnitudes)
#edgedetection draws a new image if threshold is given
#edgedetection(image, threshold)
edgedetect(image)
if nbh == '8':
for x in xrange(0, width):
for y in xrange(0, height):
rlist = []
glist = []
blist = []
for i in [-1, 0, 1]:
for j in [-1, 0, 1]:
if x + i >= 0 and x + i < width and y + j >= 0 and y + j < height:
r, g, b = pixels[x + i, y + j]
rlist.append(r)
glist.append(g)
blist.append(b)
rmax = max(rlist)
gmax = max(glist)
bmax = max(blist)
pixels[x, y] = (rmax, gmax, bmax)
#newimage.save('newimage.png')
#newimage.show()
return pixels
if __name__ == '__main__':
try:
# Call filter with image and filter as args
image = Image.open(argv[1])
filter(image, argv[2], argv[3])
except:
filter(openImage())
holes = list()
visited = list()
for x in xrange(0, width):
for y in xrange(0, height):
if (x, y) not in visited and pixels2[x, y] == (0, 255, 0):
s_visited = dfs((x, y), pixels2, visited, width, height,
hole_pixels)
print s_visited
print
holes.append(s_visited)
visited.extend(s_visited)
visited.append((x, y))
print len(holes)
colors = color(len(holes))
i = 0
for hole in holes:
holes_in_original = drawbox(holes_in_original, hole, colors[i])
i += 1
holes_in_original.save("HolesOutput.png")
if __name__ == '__main__':
try:
image = Image.open(argv[1]).convert("RGB")
except:
image = openImage().convert("RGB")
holedetection(image)
for x in xrange(0, width * factor):
j = 0
for y in xrange(0, height * factor):
newimage.putpixel((x, y), pixels[i, j])
if y % factor + 1 == factor:
j += 1
if x % factor + 1 == factor:
i += 1
newimage.save('enlarged.png')
newimage.show()
# Shrink
# elif enorshrink=='s':
if __name__ == '__main__':
try:
image = Image.open(argv[1])
except:
image = openImage()
try:
enorshrink = argv[2]
except:
enorshrink = raw_input("Enlarge[e], shrink[s]: ")
try:
mode = argv[3]
except:
mode = raw_input("Proportional[p], Arbitrary[a]: ")
resize(image, enorshrink, mode)
