1. Level Set Tree Feature Detection
Outline
Applications
Level Set Tree structures are canonical models to organize images.
Allows for very fast computations by exploiting the topological structure of the data.
Applications
Change detection
Coherent motion
Color feature extraction
Level Sets
Coherent Motion
Input: Gray Scale Image
Output: Tree of Shapes ordered by set inclusion
Contrast invariant representation
Tree structure adds information
Original image can be reconstructed from FLST representation
Level Line Definition: Connected component of a level set boundary
Level lines are used to find groups A B C D E A B C E D
Change Detection
Approved for Public Release.NAWCWD PR#