我在带有mahotas库的灰色背景的图像上遇到了一些问题:
实施例:
这是代码:
import mahotas as mh
path ="./imagepath/a.jpg"
fork = mh.imread(path)
bin = fork[:,:,0]
bfork = bin <230
之后我得到了:
我有什么办法来获得黑色背景和白色标志? 我尝试使用opencv模块并且很好,但我更喜欢mahotas。
import cv2
path ="./imagepath/a.jpg"
ow = int ((oshape[0]/100 )*7 )
oh = int ((oshape[0]/100 )*7 )
gray = cv2.imread(path,0)
element = cv2.getStructuringElement(cv2.MORPH_CROSS,(ow,oh))
graydilate = cv2.erode(gray, element)
ret,thresh = cv2.threshold(graydilate,127,255,cv2.THRESH_BINARY_INV)
bin = thresh
答案 0 :(得分:1)
你的做法与opencv版本不同。如果你这样做,你会得到想要的结果:
fork = mh.imread(path)
bin = fork[:,:,0]
bin = mh.erode(bin)
bin = (bin < 127)
缺少侵蚀步骤,门槛不同。
from matplotlib import pyplot as plt
plt.imshow(bin)
plt.gray()