Perform mean filtering on image(s).
img_mean_filter2d( image, filter_shape = list(3, 3), padding = "REFLECT", constant_values = 0, name = NULL )
| image | Either a 2-D Tensor of shape [height, width], a 3-D Tensor of shape [height, width, channels], or a 4-D Tensor of shape [batch_size, height, width, channels]. |
|---|---|
| filter_shape | An integer or tuple/list of 2 integers, specifying the height and width of the 2-D mean filter. Can be a single integer to specify the same value for all spatial dimensions. |
| padding | A string, one of "REFLECT", "CONSTANT", or "SYMMETRIC". The type of padding algorithm to use, which is compatible with mode argument in tf.pad. For more details, please refer to https://www.tensorflow.org/api_docs/python/tf/pad. |
| constant_values | A scalar, the pad value to use in "CONSTANT" padding mode. |
| name | A name for this operation (optional). |
3-D or 4-D `Tensor` of the same dtype as input.
ValueError: If `image` is not 2, 3 or 4-dimensional, if `padding` is other than "REFLECT", "CONSTANT" or "SYMMETRIC", or if `filter_shape` is invalid.