img_euclidean_dist_transform: Euclidean dist transform

In tfaddons: Interface to 'TensorFlow SIG Addons'

Description

Applies euclidean distance transform(s) to the image(s).

Usage

img_euclidean_dist_transform(images, dtype = tf$float32, name = NULL)

Arguments

images	A tensor of shape (num_images, num_rows, num_columns, 1) (NHWC), or (num_rows, num_columns, 1) (HWC) or (num_rows, num_columns) (HW).
dtype	DType of the output tensor.
name	The name of the op.

Value

Image(s) with the type 'dtype' and same shape as 'images', with the transform applied. If a tensor of all ones is given as input, the output tensor will be filled with the max value of the 'dtype'.

Raises

TypeError: If 'image' is not tf.uint8, or 'dtype' is not floating point. ValueError: If 'image' more than one channel, or 'image' is not of rank between 2 and 4.

Examples

## Not run: 
img_path = tf$keras$utils$get_file('tensorflow.png','https://tensorflow.org/images/tf_logo.png')
img_raw = tf$io$read_file(img_path)
img = tf$io$decode_png(img_raw)
img = tf$image$convert_image_dtype(img, tf$float32)
img = tf$image$resize(img, c(500L,500L))
bw_img = 1.0 - tf$image$rgb_to_grayscale(img)
gray = tf$image$convert_image_dtype(bw_img,tf$uint8)
gray = tf$expand_dims(gray, 0L)
eucid = img_euclidean_dist_transform(gray)
eucid = tf$squeeze(eucid, c(0,-1))

## End(Not run)

tfaddons documentation built on July 2, 2020, 2:12 a.m.