def line_detection(image_name, output="output.png"):
f = Filtros()
imagex = f.aplicar_mascara(image_name, ["prewittx"], [1.0/10.0], cmd="i")
imagey = f.aplicar_mascara(image_name, ["prewitty"], [1.0/10.0], cmd="i")
image = Image.open(image_name)
line_matrix, frequency = calculate_line_values(imagex, imagey, image, saltos_ro=5, saltos_angulo=5, bias=10.0)
for i in frequency.keys():
if frequency[i] < 5:
frequency.pop(i)
draw_lines(image, frequency, line_matrix)
image.save(output)
def circle_detection(image_name, output="output.png"):
f = Filtros()
imagex = f.aplicar_mascara(image_name, ["sobelx"], [1.0/10.0], cmd="i")
imagey = f.aplicar_mascara(image_name, ["sobely"], [1.0/10.0], cmd="i")
# imagex = f.aplicar_mascara(image_name, ["prewittx"], [1.0/10.0], cmd="i")
# imagey = f.aplicar_mascara(image_name, ["prewitty"], [1.0/10.0], cmd="i")
image = Image.open(image_name)
salto = 30
circle_matrix, frequency = calculate_circle_center(imagex, imagey, image, salto = salto, bias=10.0)
for i in frequency.keys():
if frequency[i] < salto*8:
frequency.pop(i)
else:
print frequency[i], i
draw_lines(image, frequency, circle_matrix)
image.save(output)
def line_detection(image_name, output="output.png"):
f = Filtros()
imagex = f.aplicar_mascara(image_name, ["prewittx"], [1.0/18.0], cmd="i")
imagey = f.aplicar_mascara(image_name, ["prewitty"], [1.0/18.0], cmd="i")
image = Image.open(image_name)
line_matrix, frequency = calculate_line_values(imagex, imagey, image, saltos_ro=5, saltos_angulo=5, bias=10.0)
# print "numero de grupos:", len(frequency.keys())
f = list()
for i in frequency.keys():
if frequency[i] < 5:
frequency.pop(i)
else:
f.append(frequency[i])
f.sort()
# for i in f:
# print i
draw_lines(image, frequency, line_matrix)
image.save(output)