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')　　

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')

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

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')