def show_edges(filename, direction='x', offset=0):
'''Aplica um filtro Sobel à imagem, exibe e salva o resultado'''
original = Image.open(in_file(filename)).convert('L')
XSOBEL = ImageFilter.Kernel((3, 3), [-1, 0, 1, -2, 0, 2, -1, 0, 1], 1,
offset)
YSOBEL = ImageFilter.Kernel((3, 3), [-1, -2, -1, 0, 0, 0, 1, 2, 1], 1,
offset)
if direction == 'x':
filtered = original.filter(XSOBEL)
elif direction == 'y':
filtered = original.filter(YSOBEL)
else:
vsobel = original.filter(XSOBEL)
hsobel = original.filter(YSOBEL)
w, h = original.size
filtered = Image.new('L', (w, h))
for i in range(w):
for j in range(h):
value = sqrt(
vsobel.getpixel((i, j))**2 + hsobel.getpixel((i, j))**2)
value = int(min(value, 255))
filtered.putpixel((i, j), value)
# Mostrar as imagens lado a lado
show_horizontal(original, filtered)
filtered.save(
out_file('{}_{}sobel_{}.jpg'.format(filename[:filename.index('.')],
direction, offset)))
def show_box_blur(filename, r=1):
'''Aplica um filtro BoxBlur à imagem, exibe e salva o resultado'''
original = Image.open(in_file(filename))
filtered = original.filter(ImageFilter.BoxBlur(r))
#Mostrar as imagens lado a lado
show_horizontal(original, filtered)
filtered.save(
out_file('{}_boxblur_{}.jpg'.format(filename[:filename.index('.')],
r)))
for y in range(h):
pxl = colored.getpixel((x,y))
# média das coordenadas RGB
lum = (pxl[0] + pxl[1] + pxl[2])//3
img.putpixel((x,y), (lum, lum, lum))
return img
# Escala de Cinza: https://youtu.be/_3VcRHwZpPU
def grayscale(colored):
w, h = colored.size
img = Image.new("RGB", (w, h))
for x in range(w):
for y in range(h):
pxl = colored.getpixel((x,y))
# média ponderada das coordenadas RGB
lum = int(0.3*pxl[0] + 0.59*pxl[1] + 0.11*pxl[2])
img.putpixel((x,y), (lum, lum, lum))
return img
if __name__ == "__main__":
img = Image.open(in_file("baloes-pb.jpg"))
print(img.getpixel((100, 100)))
print(img.getpixel((500, 300)))
print(img.getpixel((300, 180)))
baloes = Image.open(in_file("baloes.jpg"))
pb_baloes = grayscale(baloes)
pb_baloes.save(out_file("pb_baloes2.jpg"))
for y in range(h):
pxl = colored.getpixel((x,y))
# média das coordenadas RGB
lum = (pxl[0] + pxl[1] + pxl[2])//3
img.putpixel((x,y), (lum, lum, lum))
return img
# Escala de Cinza: https://youtu.be/_3VcRHwZpPU
def grayscale(colored):
w, h = colored.size
img = Image.new("RGB", (w, h))
for x in range(w):
for y in range(h):
pxl = colored.getpixel((x,y))
# média ponderada das coordenadas RGB
lum = int(0.3*pxl[0] + 0.59*pxl[1] + 0.11*pxl[2])
img.putpixel((x,y), (lum, lum, lum))
return img
if __name__ == "__main__":
img = Image.open(in_file("baloes.jpg"))
# print(img.getpixel((100, 100)))
# print(img.getpixel((500, 300)))
# print(img.getpixel((300, 180)))
# pb_baloes = grayscale(baloes)
# pb_baloes.save(out_file("pb_baloes2.jpg"))
grayscale(img).save(out_file("pb-baloes.jpg"))
from PIL import Image
from utils import in_file
import os
# abre a imagem
image = Image.open(in_file("pensador.jpg"))
# exibe o valor do pixel na posição (500, 500)
print(image.getpixel((500, 500)))
# exibe a imagem
image.show()
# Vídeo: O que é uma imagem?
# https://youtu.be/T9V_axU6jU8