Level Set Tree Feature Detection

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Presentation transcript:

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# 18-0002