‘skimage’

‘skimage’:

skimage refers to the scikit-image library, which is a popular open-source Python library used for image processing tasks. It provides a wide range of functions and algorithms for manipulating and analyzing images.

Scikit-image is built on top of other scientific Python libraries such as NumPy and SciPy, and it offers a user-friendly interface for performing various image processing operations. Some of the key features of scikit-image include:

1. Image I/O: Loading and saving images in various formats, such as JPEG, PNG, TIFF, etc.
2. Image transformation: Performing geometric transformations like rotation, scaling, and resizing.
3. Filtering and enhancement: Applying various filters to images, such as Gaussian smoothing, edge detection, and noise reduction.
4. Image segmentation: Dividing an image into multiple regions or objects based on different criteria.
5. Feature extraction: Extracting meaningful features from images, such as corners, edges, and texture descriptors.
6. Image analysis: Performing measurements and analysis on images, such as computing histograms, calculating image gradients, and image registration.

To use skimage, you need to install it first. You can install it using pip by running the following command:

Once installed, you can import the necessary modules and start using the functions and tools provided by skimage. Here’s a simple example that demonstrates loading an image and applying a Gaussian blur:

This is just a basic example, and scikit-image offers many more advanced capabilities for image processing and analysis. You can refer to the official scikit-image documentation for more detailed information on the available functions and usage examples: https://scikit-image.org/