| img_median_filter2d {tfaddons} | R Documentation |
Median filter2d
Description
Perform median filtering on image(s).
Usage
img_median_filter2d(
image,
filter_shape = list(3, 3),
padding = "REFLECT",
constant_values = 0,
name = NULL
)
Arguments
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 median 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) |
Value
3-D or 4-D 'Tensor' of the same dtype as input.
Raises
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.