Edges Examples¶

[1]:

from easycv import Image
from easycv.io.output import show_grid
from easycv.transforms import Gradient, GradientAngle, Canny

For this example we will load an image from the Dog API. For more examples of image loading check Image examples.

[2]:

img = Image("https://images.dog.ceo/breeds/sheepdog-english/n02105641_1045.jpg")
img

[2]:

../../_images/examples_transforms_edges_3_0.png

Gradient¶

To calculate the gradient of the image we simply apply the Gradient Transform for both axis, for more information check the reference. The gradients are displayed in a grid created using show_grid().

[3]:

grad_x = img.apply(Gradient(axis="x"))
grad_y = img.apply(Gradient(axis="y"))
show_grid([grad_x,grad_y])

../../_images/examples_transforms_edges_6_0.png

Gradient Magnitude¶

To calculate the magnitude of the image gradient we simply apply the Gradient transform with no axis, for more information check the reference.

[4]:

img.apply(Gradient())

[4]:

../../_images/examples_transforms_edges_9_0.png

Gradient Angle¶

To calculate the angles of the image gradient we simply apply the GradientAngle transform, for more information check the reference.

[5]:

img.apply(GradientAngle(size=1))

[5]:

../../_images/examples_transforms_edges_12_0.png

Canny Edge¶

To get the edges of an image we just apply the Canny transform with the low and high threshold, for more information check the reference.

[6]:

img.apply(Canny(low=100, high=200))

[6]:

../../_images/examples_transforms_edges_15_0.png