OpenCV Image Denoising gives: Error: -215:Assertation failed

Question

尝试使用下面的代码对非常简单的图像进行降噪。当打印出数据数组时，我得到以下结构，这是预期的，因为图像是灰度的：

[[ 62  62  63 ...  29  16   6]
 [ 75  90 103 ...  21  16  12]
 [ 77 100 118 ...  29  29  30]
 ...
 [ 84  68  56 ...  47  50  53]
 [101  94  89 ...  40  44  48]

这是代码和相关的错误，此时我有点卡住了。有什么建议吗？

import cv2
from matplotlib import pyplot as plt

img = cv2.imread(path,0)
dst = cv2.fastNlMeansDenoising(img,None,10,10,7,21)

plt.subplot(211),plt.imshow(dst)
plt.subplot(212),plt.imshow(img)
plt.show()

____________________________________________________________________
runfile(___, wdir='G:/James Alexander/Python Programs')
Traceback (most recent call last):

  File "<ipython-input-127-ce832752c183>", line 1, in <module>
    runfile('G:/James Alexander/Python Programs/Noiseremoval.py', wdir=___)

  File "___", line 704, in runfile
    execfile(filename, namespace)

  File "___", line 108, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "___", line 13, in <module>
    dst = cv2.fastNlMeansDenoising(img,None,10,10,7,21)

error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\photo\src\denoising.cpp:120: error: (-215:Assertion failed) hn == 1 || hn == cn in function 'cv::fastNlMeansDenoising'

Answer 1

阅读有关您正在使用的 Denoising function 的文档。调用该函数有两种方法，您似乎将两者结合起来。

dst = cv.fastNlMeansDenoising(src[, dst[, h[, templateWindowSize[, searchWindowSize]]]])

或

dst = cv.fastNlMeansDenoising(src, h[, dst[, templateWindowSize[, searchWindowSize[, normType]]]])

您正在使用 (src, dst, h, templateWindowSize, searchWindowSize, normType) 调用它，其中参数过多或顺序错误，具体取决于您要使用的方法。

Answer 2

将您的参数更改为

dst = cv2.fastNlMeansDenoising(img, None, 30, 7, 21)

OpenCV Image Denoising gives: Error: -215:Assertation failed

OpenCV Image Denoising gives: Error: -215:Assertation failed

python-3.x

image

opencv

image-processing

noise