@InProceedings{H.EmrahTasli2013,
author="H. Emrah Tasli
and Cevahir {\c{C}}igla
and Theo Gevers
and A. Aydin Alatan",
title="Super pixel extraction via convexity induced boundary adaptation",
booktitle="14th IEEE International Conference on Multimedia and Expo",
year="2013",
pages="1--6",
abstract="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.",
optnote="ALTRES;ISE",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2367), last updated on Thu, 10 Nov 2016 12:04:29 +0100",
issn="1945-7871",
doi="10.1109/ICME.2013.6607465"
}