PIL基本功能介紹

from PIL import Imagefrom PIL import ImageEnhance img = Image.open(r’E:imgf1.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(duì)比度增強(qiáng)enh_con = ImageEnhance.Contrast(img)contrast = 2img_contrasted = enh_con.enhance(contrast)# 亮度增強(qiáng)enh_bri = ImageEnhance.Brightness(img_contrasted)brightness = 2.5image_brightened = enh_bri.enhance(brightness)#色度增強(qiáng)enh_col = ImageEnhance.Color(img)color = 50image_colored = enh_col.enhance(color)# # 銳度增強(qiáng)enh_sha = ImageEnhance.Sharpness(img)sharpness = 2image_sharped = enh_sha.enhance(sharpness)image_sharped.save(r’E:imgf22.png’, dpi=(300, 300), quality=95)# image_sharped.save(r’E:imgf22.png’) # 圖片漢字識(shí)別img2 = Image.open(r’E:imgf22.png’)code2 = pytesseract.image_to_string(img2, lang=’chi_sim’)# print(code2)# 圖片裁剪image_cro = Image.open(r’E:imgf24.png’)image_cropped = image_cro.crop(res)image_cropped.save(u’E:imgf25.png’)　

對(duì)圖片進(jìn)行黑白化處理

img_main = Image.open(u’E:/login1.png’)img_main = img_main.convert(’L’)threshold1 = 138table1 = []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(jì)算小圖在大圖的坐標(biāo)

def get_screenxy_from_bmp(main_bmp, son_bmp): # 獲取屏幕上匹配指定截圖的坐標(biāo)->(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(shí)現(xiàn)屏幕截圖

im = ImageGrab.grab()im.save(’D:/as1.png’) # # # # 參數(shù)說(shuō)明# # # # 第一個(gè)參數(shù) 開(kāi)始截圖的x坐標(biāo)# # # # 第二個(gè)參數(shù) 開(kāi)始截圖的y坐標(biāo)# # # # 第三個(gè)參數(shù) 結(jié)束截圖的x坐標(biāo)# # # # 第四個(gè)參數(shù) 結(jié)束截圖的y坐標(biāo)bbox = (897, 131, 930, 148)im = ImageGrab.grab(bbox)im.save(’D:/as2.png’)

以上就是python PIL模塊的基本使用的詳細(xì)內(nèi)容，更多關(guān)于python PIL模塊的資料請(qǐng)關(guān)注好吧啦網(wǎng)其它相關(guān)文章！