PIL基本功能介绍
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
|
from PIL import Image
from PIL import ImageEnhance
img = Image.open(r'E:\img\f1.png')
img.show()
#图像二值化
img = img.convert('L')
# 图像放大
img = img.resize((img.width * int(3), img.height * int(4)), Image.ANTIALIAS)
# # 对比度增强
enh_con = ImageEnhance.Contrast(img)
contrast = 2
img_contrasted = enh_con.enhance(contrast)
# 亮度增强
enh_bri = ImageEnhance.Brightness(img_contrasted)
brightness = 2.5
image_brightened = enh_bri.enhance(brightness)
#色度增强
enh_col = ImageEnhance.Color(img)
color = 50
image_colored = enh_col.enhance(color)
# # 锐度增强
enh_sha = ImageEnhance.Sharpness(img)
sharpness = 2
image_sharped = enh_sha.enhance(sharpness)
image_sharped.save(r'E:\img\f22.png', dpi=(300, 300), quality=95)
# image_sharped.save(r'E:\img\f22.png')
# 图片汉字识别
img2 = Image.open(r'E:\img\f22.png')
code2 = pytesseract.image_to_string(img2, lang='chi_sim')
# print(code2)
# 图片裁剪
image_cro = Image.open(r'E:\img\f24.png')
image_cropped = image_cro.crop(res)
image_cropped.save(u'E:\img\\f25.png')
|
对图片进行黑白化处理
|
1
2
3
4
5
6
7
8
9
10
11
|
img_main = Image.open(u'E:/login1.png')
img_main = img_main.convert('L')
threshold1 = 138
table1 = []
for i in range(256):
if i < threshold1:
table1.append(0)
else:
table1.append(1)
img_main = img_main.point(table1, "1")
img_main.save(u'E:/login3.png')
|
计算小图在大图的坐标
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
|
def get_screenxy_from_bmp(main_bmp, son_bmp):
# 获取屏幕上匹配指定截图的坐标->(x,y,width,height)
img_main = Image.open(main_bmp)
img_main = img_main.convert('L')
threshold1 = 138
table1 = []
for i in range(256):
if i < threshold1:
table1.append(0)
else:
table1.append(1)
img_main = img_main.point(table1, "1")
img_son = Image.open(son_bmp)
img_son = img_son.convert('L')
threshold2 = 138
table2 = []
for i in range(256):
if i < threshold2:
table2.append(0)
else:
table2.append(1)
img_son = img_son.point(table2, "1")
datas_a = list(img_main.getdata())
datas_b = list(img_son.getdata())
for i, item in enumerate(datas_a):
if datas_b[0] == item and datas_a[i + 1] == datas_b[1]:
yx = divmod(i, img_main.size[0])
main_start_pos = yx[1] + yx[0] * img_main.size[0]
match_test = True
for n in range(img_son.size[1]):
main_pos = main_start_pos + n * img_main.size[0]
son_pos = n * img_son.size[0]
if datas_b[son_pos:son_pos + img_son.size[0]] != datas_a[main_pos:main_pos + img_son.size[0]]:
match_test = False
break
if match_test:
return (yx[1], yx[0], img_son.size[0], img_son.size[1])
return False
|
ImageGrab实现屏幕截图
|
1
2
3
4
5
6
7
8
9
10
11
|
im = ImageGrab.grab()
im.save('D:/as1.png')
# # # # 参数说明
# # # # 第一个参数 开始截图的x坐标
# # # # 第二个参数 开始截图的y坐标
# # # # 第三个参数 结束截图的x坐标
# # # # 第四个参数 结束截图的y坐标
bbox = (897, 131, 930, 148)
im = ImageGrab.grab(bbox)
im.save('D:/as2.png')
|
以上就是python PIL模块的基本使用的详细内容，更多关于python PIL模块的资料请关注服务器之家其它相关文章！
原文链接：https://www.cnblogs.com/feifeifeisir/p/11027013.html