Hierarchical pixel clustering for image segmentation
This work addresses image segmentation for computer vision applications, but appears incremental as it builds on existing clustering approaches without claiming major breakthroughs.
The paper tackles the problem of image segmentation by developing a hierarchical pixel clustering method that reduces segment numbers in clusters, with algorithms proven using elementary formulas.
In the paper a piecewise constant image approximations of sequential number of pixel clusters or segments are treated. A majorizing of optimal approximation sequence by hierarchical sequence of image approximations is studied. Transition from pixel clustering to image segmentation by reducing of segment numbers in clusters is provided. Algorithms are proved by elementary formulas.