def detect_gf_result(image_path):
from PIL import ImageFilter, Image
import pytesseract
img = Image.open(image_path)
for x in range(img.width):
for y in range(img.height):
if img.getpixel((x, y)) < (100, 100, 100):
img.putpixel((x, y), (256, 256, 256))
gray = img.convert('L')
two = gray.point(lambda x: 0 if 68 < x < 90 else 256)
min_res = two.filter(ImageFilter.MinFilter)
med_res = min_res.filter(ImageFilter.MedianFilter)
for _ in range(2):
med_res = med_res.filter(ImageFilter.MedianFilter)
res = pytesseract.image_to_string(med_res, config='-psm 6')
return res.replace(' ', '')
python类MedianFilter()的实例源码
def detect_gf_result(image_path):
from PIL import ImageFilter, Image
img = Image.open(image_path)
if hasattr(img, "width"):
width, height = img.width, img.height
else:
width, height = img.size
for x in range(width):
for y in range(height):
if img.getpixel((x, y)) < (100, 100, 100):
img.putpixel((x, y), (256, 256, 256))
gray = img.convert('L')
two = gray.point(lambda p: 0 if 68 < p < 90 else 256)
min_res = two.filter(ImageFilter.MinFilter)
med_res = min_res.filter(ImageFilter.MedianFilter)
for _ in range(2):
med_res = med_res.filter(ImageFilter.MedianFilter)
return invoke_tesseract_to_recognize(med_res)
def gray(image):
"""
:return: self.images
?????
"""
image = image.convert('RGB')
image = image.filter(ImageFilter.MedianFilter())
r, g, b = image.split()
x, y = image.size
for j in xrange(x):
for k in xrange(y):
pixelr = r.getpixel((j, k))
pixelg = g.getpixel((j, k))
pixelb = b.getpixel((j, k))
pixel = int(0.3 * pixelr + 0.59 * pixelg + 0.11 * pixelb)
r.putpixel((j, k), pixel)
image = r
image = image.filter(ImageFilter.MedianFilter())
return image
def autocrop(im, autocrop=False, **kwargs):
"""
Remove any unnecessary whitespace from the edges of the source image.
This processor should be listed before :func:`scale_and_crop` so the
whitespace is removed from the source image before it is resized.
autocrop
Activates the autocrop method for this image.
"""
if autocrop:
# If transparent, flatten.
if utils.is_transparent(im) and False:
no_alpha = Image.new('L', im.size, (255))
no_alpha.paste(im, mask=im.split()[-1])
else:
no_alpha = im.convert('L')
# Convert to black and white image.
bw = no_alpha.convert('L')
# bw = bw.filter(ImageFilter.MedianFilter)
# White background.
bg = Image.new('L', im.size, 255)
bbox = ImageChops.difference(bw, bg).getbbox()
if bbox:
im = im.crop(bbox)
return im
def vcode(self):
# ?????
r = self._session.get('https://trade.gf.com.cn/yzm.jpgx')
r.raise_for_status()
# ?????????????
img_buffer = BytesIO(r.content)
img = Image.open(img_buffer)
if hasattr(img, "width"):
width, height = img.width, img.height
else:
width, height = img.size
for x in range(width):
for y in range(height):
if img.getpixel((x, y)) < (100, 100, 100):
img.putpixel((x, y), (256, 256, 256))
gray = img.convert('L')
two = gray.point(lambda x: 0 if 68 < x < 90 else 256)
min_res = two.filter(ImageFilter.MinFilter)
med_res = min_res.filter(ImageFilter.MedianFilter)
for _ in range(1):
med_res = med_res.filter(ImageFilter.MedianFilter)
# ??tesseract-ocr??????????
vcode = pytesseract.image_to_string(med_res)
img.close()
img_buffer.close()
vcode = vcode.replace(' ', '')
if self.code_rule.findall(vcode) != []:
logger.debug('vcode is: %s' % vcode)
return vcode
else:
raise VerifyCodeError('verify code error: %s' % vcode)
def binaryzation(image):
"""
:return: ret_images
?????
"""
x, y = image.size
for j in xrange(x):
for k in xrange(y):
pixel = 0 if image.getpixel((j, k)) > 100 else 255
image.putpixel((j, k), pixel)
image = image.filter(ImageFilter.MedianFilter())
return image
def ImgMax(img):
img=img.filter(ImageFilter.SMOOTH)
img=img.filter(ImageFilter.MedianFilter(5))
img.show()
def ModifyImg(self,img_name):
global val_img
val_img+=1
if val_img <= 1:
print('??????????----------')
if os.path.isdir(Modif):
pass
else:
mkdir = os.makedirs(Modif)
print('????????????????????----------')
print('???????????????????->'+Modif)
else:
pass
img = Image.open(img_name)
img = img.filter(ImageFilter.MedianFilter())
enhancer = ImageEnhance.Contrast(img)
img = enhancer.enhance(2)
img = img.convert('1')
width, height = img.size
data = []
for i in range(height):
tmp=[]
for j in range(width):
if(img.getpixel((j,i)) == 255 ):
tmp.append(1)
else:
tmp.append(0)
data.append(tmp)
img2 = Image.new("P",img.size, 255)
for y in range(height):
for a in range(len(data[y])):
o = y+1
t = y+2
#s = y+3
z = a+1
x = a+2
try:
if data[o][a] == 0 and data[t][a] == 0 and data[y][z] == 0 and data[y][x] == 0:#and data[s][a] == 0
img2.putpixel((a,y),1)
img2.save(Modif+str(val_img)+'.png')
except:
pass
img2_path = Modif+str(val_img)+'.png'
image = Image.open(img2_path)
image = image.convert("L")
self.clearNoise(image,53,4,8)
image.save(img2_path)
image.show()
self.ImgCutting(img2_path)
