我创建了一个简单的例子来说明我要做的事情：#!/usr/bin/python
#---------------------------------------------------------------------
# imports
# >>> cv2.__version__
# '2.4.6.1'
# >>> scipy.__version__
# '0.12.0'
#---------------------------------------------------------------------
import cv2
from scipy.signal import wiener
#---------------------------------------------------------------------
# functions
#---------------------------------------------------------------------
def enhance_image(input_image):
my_im = input_image.copy()
my_im = wiener(my_im)
return my_im
#---------------------------------------------------------------------
# Main
#---------------------------------------------------------------------
filename="./data/5bd0-7939-48a6-94eb-045495b85343.png"
im=cv2.imread(filename)
cv2.imshow('Original',im)
gray_im = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
cv2.imshow('Gray',gray_im)
enhanced_im=enhance_image(gray_im)
cv2.imshow('Enhanced',enhanced_im)
# this fails
(thresh, bw_im) = cv2.threshold(enhanced_im, 128, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)
cv2.imshow('Black and White',bw_im)
key = cv2.waitKey()
代码加载一个图像，将其转换为灰度，使用scipy.signal模块运行wiener算法来增强图像，之后我想将图像转换为二值图像(黑白)。当我运行上面的代码时，我得到以下错误：OpenCV Error: Assertion failed (src.type() == CV_8UC1) in threshold, file /home/mrichey/Downloads/opencv2.4/opencv-2.4.6.1/modules/imgproc/src/thresh.cpp, line 719
Traceback (most recent call last):
File "./simple_example.py", line 37, in
(thresh, bw_im) = cv2.threshold(enhanced_im, 128, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)
cv2.error: /home/mrichey/Downloads/opencv2.4/opencv->2.4.6.1/modules/imgproc/src/thresh.cpp:719: error: (-215) src.type() == CV_8UC1 in function threshold
我对这个错误的研究使我相信传递给threshold函数的图像类型是错误的，但我不知道它需要转换成什么，也不知道如何进行转换。在
当我把gray_im传入threshold时，它工作正常。我注意到gray_im都是整数，但是enhanced_im有浮点值，所以我尝试修改我的enhance_image函数：
^{pr2}$
然而，我也犯了同样的错误。在
