python-PIL模塊的使用

PIL基本功能介紹

from PIL import Image
from PIL import ImageEnhance

img = Image.open(r'E:\img\f1.png')
img.show()
#圖像二值化
img = img.convert('L')
# 圖像放大
img = img.resize((img.width * int(3), img.height * int(4)), Image.ANTIALIAS)
# # 對比度加強
enh_con = ImageEnhance.Contrast(img)
contrast = 2
img_contrasted = enh_con.enhance(contrast)
# 亮度加強
enh_bri = ImageEnhance.Brightness(img_contrasted)
brightness = 2.5
image_brightened = enh_bri.enhance(brightness)
#色度加強
enh_col = ImageEnhance.Color(img)
color = 50
image_colored = enh_col.enhance(color)
# # 銳度加強
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')

# 圖片漢字識別
img2 = Image.open(r'E:\img\f22.png')
code2 = pytesseract.image_to_string(img2, lang='chi_sim')
# print(code2)

# 圖片裁剪
image_cro = Image.open(r'E:\img\f24.png')
image_cropped = image_cro.crop(res)
image_cropped.save(u'E:\img\\f25.png')　　

對圖片進行黑白化處理

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')

　　

計算小圖在大圖的座標

def get_screenxy_from_bmp(main_bmp, son_bmp):
    # 獲取屏幕上匹配指定截圖的座標->(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實現屏幕截圖

im = ImageGrab.grab()
im.save('D:/as1.png')

#     # # # 參數說明
#     # # # 第一個參數 開始截圖的x座標
#     # # # 第二個參數 開始截圖的y座標
#     # # # 第三個參數 結束截圖的x座標
#     # # # 第四個參數 結束截圖的y座標
bbox = (897, 131, 930, 148)
im = ImageGrab.grab(bbox)
im.save('D:/as2.png')