我想用cv2.imshow("Otsu img", binary)
代替plt.imshow( binary)
我得到了错误
完整代码:
import matplotlib.pyplot as plt
from skimage import io
from skimage.filters.rank import entropy
from skimage.morphology import disk
import numpy as np
from skimage.filters import threshold_otsu
import cv2
img = io.imread("scratch.jpg")
entropy_img = entropy(img, disk(10))
thresh = threshold_otsu(entropy_img)
binary = entropy_img <= thresh
cv2.imshow("Otsu img", binary)
cv2.waitKey(0)
cv2.destroyAllWindows()
如何解决此错误?
cv2.imshow("Otsu img", binary)
TypeError: mat data type = 0 is not supported
可以通过将二进制文件转换为dtype=uint8
来纠正TypeError,
binary = np.asarray(binary, dtype="uint8")
或通过使用astype(np.uint8)
更改二进制的类型
但是经过原始海报@Redhwan之间的进一步讨论,OP确认了问题,并且以下脚本似乎可以解决问题:
import matplotlib.pyplot as plt
from skimage import io
from skimage.filters.rank import entropy
from skimage.morphology import disk
import numpy as np
from skimage.filters import threshold_otsu
import cv2
img = cv2.imread("scratch.jpg", 0)
entropy_img = entropy(img, disk(10))
# print type(entropy_img), entropy_img
thresh = threshold_otsu(entropy_img)
# print thresh
# binary = entropy_img <= thresh
ret1, th1 = cv2.threshold(entropy_img, thresh, 255, cv2.THRESH_BINARY_INV)
# print type(entropy)
cv2.imshow("Otsu img", img)
cv2.imshow("Otsu th2", th1)
# cv2.imshow("OTSU Gaussian cleaned", th3)
# cv2.imshow("OTSU median cleaned", th4)
cv2.waitKey(0)
cv2.destroyAllWindows()