In this chapter, we have learned to simplify images and change their representation into something that is much easier to analyze, using a different set of algorithms available in the ImageSegmentation package. These algorithms include, but are not limited to, the seeded region growing technique, the Felzenszwalb algorithm, and the fast scanning algorithm. We have also learned how to use helper functions to extract additional information, such as retrieving segment labels, size, and mean intensity values.
In the next chapter, we will be looking at how to proceed with detailed feature extraction from images. This will be used in image grouping and comparison.
