Waterpixels and their Application to Image Segmentation Learning

PhD Project, under the direction of Etienne Decencière and Thomas Walter

Waterpixels: Superpixels Based on the Watershed Transformation

Image of Waterpixels

We focus on the partition of the image into small regular homogeneous regions called superpixels. The latter are very useful as they typically serve as primitives for further analysis of the image such as detection, segmentation and classification of objects.
We propose a new method based on the watershed transformation to generate superpixels, called waterpixels.

Click here to