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cv2.filter2D

时间: 2023-10-29 09:47:05 浏览: 109

opencv-python中的cv2.filter()函数随笔

有时候我们想要处理的图像中噪音太多，影响到我们的识别判断，我们就需要对图像进行模糊处理，使图像变得平滑。而opencv-python提供给我们cv2.filter()函数来对图像进行2D卷积，我们可以使用自定义的卷积核来对图像进行卷积操作。构造函数： dst=cv.filter2D(src, ddepth, kernel[, dst[, anchor[, delta[, borderType]]]]) 参数解释 src:待处理图像 ddepth:目标图像深度，如果值为-1则表示目标图像输出为与原图像深度相同。 kernel:自定义的卷积核，float32型浮点矩阵。 anchor 内核的

cv2.filter2D() is a function in OpenCV library that performs a 2D convolution operation on an image with a kernel. The function takes two parameters - the input image and the kernel. The kernel is a small matrix that is applied to each pixel of the image to compute a new value for that pixel. The function then returns the resulting convolved image. This function is used for various image processing tasks such as smoothing, edge detection, sharpening, and more. It is also used in computer vision algorithms for feature extraction and object detection.

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