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May 15, 2019 14:15
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Image Sliding using Pillow in Python
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import numpy as np | |
from PIL import Image | |
import matplotlib.pyplot as plt | |
gray_img = Image.open('Lenna.png').convert("LA")#밝기와 알파값을 이용해서 Grayscale로 변환 | |
gray_img.save("gray_lenna.png")#grayscale로 변환된 흑백 이미지를 출력 | |
row = gray_img.size[0] | |
col = gray_img.size[1] | |
sliding_up_img = Image.new("L", (row, col))#새 흑백이미지를 생성. | |
sliding_down_img = Image.new("L", (row, col))#새 흑백이미지를 생성. | |
sliding_up = 50 | |
sliding_down = 50 | |
for x in range(1 , row): | |
for y in range(1, col): | |
sliding_up_img.putpixel((x,y), gray_img.getpixel((x,y))[0]+sliding_up) | |
sliding_down_img.putpixel((x,y), gray_img.getpixel((x,y))[0]-sliding_down) | |
sliding_up_img.save("sliding_up_lenna.png")#위로 슬라이딩된 이미지 저장 | |
sliding_down_img.save("sliding_down_lenna.png")#아래로 슬라이딩된 이미지 저장 | |
y = gray_img.histogram() | |
y = y[0:256] | |
x = np.arange(len(y)) | |
plt.figure(figsize=(8,24)) | |
plt.subplot(311) | |
plt.title("gray hist") | |
plt.bar(x, y) | |
y = sliding_up_img.histogram() | |
x = np.arange(len(y)) | |
plt.subplot(312) | |
plt.title("sliding up hist") | |
plt.bar(x, y) | |
y = sliding_down_img.histogram() | |
x = np.arange(len(y)) | |
plt.subplot(313) | |
plt.title("sliding down hist") | |
plt.bar(x, y) | |
fig = plt.gcf() | |
plt.show() | |
fig.savefig("sliding_hist.png") |
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