Contouring shapes
In this exercise we'll find the contour of a horse.
For that we will make use of a binarized image provided by scikit-image in its data module. Binarized images are easier to process when finding contours with this algorithm. Remember that contour finding only supports 2D image arrays.
Once the contour is detected, we will display it together with the original image. That way we can check if our analysis was correct!
show_image_contour(image, contours) is a preloaded function that displays the image with all contours found using Matplotlib.
Remember you can use the find_contours() function from the measure module, by passing the thresholded image and a constant value.
This exercise is part of the course
Image Processing in Python
Exercise instructions
- Import the data and the module needed for contouring detection.
- Obtain the horse image shown in the context area.
- Find the contours of the horse image using a constant level value of 0.8.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import the modules
from skimage import ____, ____
# Obtain the horse image
horse_image = ____.horse()
# Find the contours with a constant level value of 0.8
contours = measure.____(____, ____)
# Shows the image with contours found
show_image_contour(horse_image, contours)