%0 Conference Proceedings
%T Super pixel extraction via convexity induced boundary adaptation
%A H. Emrah Tasli
%A Cevahir Çigla
%A Theo Gevers
%A A. Aydin Alatan
%B 14th IEEE International Conference on Multimedia and Expo
%D 2013
%@ 1945-7871
%F H. Emrah Tasli2013
%O ALTRES;ISE
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2367), last updated on Thu, 10 Nov 2016 12:04:29 +0100
%X This study presents an efficient super-pixel extraction algorithm with major contributions to the state-of-the-art in terms of accuracy and computational complexity. Segmentation accuracy is improved through convexity constrained geodesic distance utilization; while computational efficiency is achieved by replacing complete region processing with boundary adaptation idea. Starting from the uniformly distributed rectangular equal-sized super-pixels, region boundaries are adapted to intensity edges iteratively by assigning boundary pixels to the most similar neighboring super-pixels. At each iteration, super-pixel regions are updated and hence progressively converging to compact pixel groups. Experimental results with state-of-the-art comparisons, validate the performance of the proposed technique in terms of both accuracy and speed.
%U http://dx.doi.org/10.1109/ICME.2013.6607465
%P 1-6