Segment 2D Ball


Description:

A simple model for segmentation is a function that checks a pixel against its neighbors to identify contrast. It recursively does this for an entire region until it identifies the edges of the region. Segment 2D Ball operates on a similar concept, but instead of using a single pixel and its neighbors, it checks the circumference of a circle against its neighbors for contrast. The Seed is the starting point for the segmentation. You may select the seed by clicking the appropriate location in the main Im2Learn window. Delta defines the difference in intensity required for a pixel and its neighbors to be considered contrast. The Ball Size defines how large the diameter of the circle will be. The segment box shows the total number of pixels in a region and the circumference box shows the total number of pixels lining a region.

In Segment All the entire image will be segmented. The minimum and maximum boxes define the thresholds for the sizes required for differing regions to be considered distinct.

Then, these various options can be applied to see the result via Apply to Final. If the results are sufficient, Apply Final to Main will apply the segmentation results to the main Im2Learn. Done will close the Im2Learn window.

Release notes: author Tim Nee, version 0.1