Image Segmentation Using scikit-image

Image processing is a domain of computer science in which different operations and transformations are implemented on an image to extract useful information or produce a desirable change. Numerous image processing techniques have been developed for different processes. Image processing finds widespread applications in areas like biomedical imaging and face detection.

The scikit-image library provides image processing functionalities. It contains predefined algorithms for different image processing functions like image restoration and color conversion and contains several other functions to facilitate image processing.

In this project, we’ll use scikit-image to perform the following operations on an image:

• Use image segmentation to separate an object based on its color.

• Use filters to remove noise from an image.

• Use image segmentation to detect license plates from images of vehicles.