Python 无法使用adaptiveThreshold：函数adaptiveThreshold 中的CV_8UC1
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Failure to use adaptiveThreshold: CV_8UC1 in function adaptiveThreshold
提问by PhuongHoang
I have used openCV python and encountered an error.
我使用过 openCV python 并遇到错误。
img_blur = cv2.medianBlur(self.cropped_img,5)
img_thresh_Gaussian = cv2.adaptiveThreshold(img_blur, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)
plt.subplot(1,1,1),plt.imshow(img_thresh_Gaussian, cmap = 'gray')
plt.title("Image"), plt.xticks([]), plt.yticks([])
plt.show()
but I received:
但我收到了：
cv2.error: /home/phuong/opencv_src/opencv/modules/imgproc/src/thresh.cpp:1280: error: (-215) src.type() == CV_8UC1 in function adaptiveThreshold
Do I have to install something else?
我必须安装其他东西吗？
采纳答案by sam
you should load your file like this
你应该像这样加载你的文件
src.create(rows, cols, CV_8UC1);
src = imread(your-file, CV_8UC1);
and after that
在那之后
adaptiveThreshold(src, dst, 255, ADAPTIVE_THRESH_GAUSSIAN_C, THRESH_BINARY, 75, 10);
回答by Salvador Dali
The problem is that you are trying to use adaptive thresholding to an image that is not in greyscale. And the function only works with a greyscale images.
问题是您正在尝试对非灰度图像使用自适应阈值。并且该功能仅适用于灰度图像。
So you have to convert your image to a greyscale format as it is described in documentation.
They read the image in a greyscale format with: img = cv2.imread('dave.jpg',0). You can also convert it to greyscale with: img_grey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
他们与灰度格式读取的图像：img = cv2.imread('dave.jpg',0)。您还可以使用以下方法将其转换为灰度：img_grey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
回答by Vaibhav K
you can change the code to slightly like this :
您可以将代码更改为稍微像这样：
img_blur = cv2.medianBlur(self.cropped_img,5).astype('uint8')
img_thresh_Gaussian = cv2.adaptiveThreshold(img_blur, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)
just by adding ('uint8') while blurring has resolved my issue.
只需添加 ('uint8') 而模糊就解决了我的问题。
回答by Yazen WAKED
Try to add cv2.IMREAD_GRAYSCALE in the second parameter of imread
尝试在 imread 的第二个参数中添加 cv2.IMREAD_GRAYSCALE
img = cv2.imread(File_path, cv2.IMREAD_GRAYSCALE)
img = cv2.imread(File_path, cv2.IMREAD_GRAYSCALE)
回答by Aram.rt
you have to imreadyour image in grayscale, so use the code below:
您必须以灰度图像读取图像，因此请使用以下代码：
image = imread('address', 0)
0 exchange the channel of image to grayscale
0 将图像通道交换为灰度
