PT Unknown
AU H. Emrah Tasli
   Cevahir Çigla
   Theo Gevers
   A. Aydin Alatan
TI Super pixel extraction via convexity induced boundary adaptation
BT 14th IEEE International Conference on Multimedia and Expo
PY 2013
BP 1
EP 6
DI 10.1109/ICME.2013.6607465
AB 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.
ER