Ndimage - Core SciPy

ndimage is a sub-package of SciPy module which provides various image processing and image analysis methods. It can be used to perform operations like filtering, measuring, and modifying images. It is compatible with both 2D and 3D images. In this tutorial, we will learn about the ndimage module and how to use it for image processing.

Syntax

scipy.ndimage.method_name(input, [parameters])

Example

Let's take an example of how to use the ndimage module to read and display an image. The code snippet below loads an image using the imread() method and displays it using the imshow() method.

import matplotlib.pyplot as plt
from scipy import ndimage, misc

# Read the image
image = misc.imread('path/to/image.png')

# Display the image
plt.imshow(image)
plt.show()

Output

The output of the above code snippet will show the image on your screen.

Explanation

First, we import ndimage and misc sub-packages from the SciPy module. We use misc.imread() method to read the image. Then we use plt.imshow() method to display the image on the screen.

Use

The ndimage module can be used for various image processing and analysis operations such as:

• Filtering and manipulation
• Image segmentation and labeling
• Distance transformations
• Morphological operations
• Measurements and analysis

Important Points

• ndimage is a sub-package of the SciPy module.
• It supports both 2D and 3D images.
• It can be used for various image processing and analysis operations.

Summary

In summary, the ndimage module in SciPy is a powerful tool for image processing and analysis. It provides several image processing and analysis methods that can be used for a variety of applications, including filtering, segmentation, and measurements. It is a comprehensive module that can handle both 2D and 3D images, making it a valuable tool for image processing and analysis tasks.