@inproceedings{e71ba2e89b044816a5fbd27e562bb57a,
title = "Efficient and robust segmentations based on eikonal and diffusion PDEs",
abstract = "In this paper, we present efficient and simple image segmentations based on the solution of two separate Eikonal equations, each originating from a different region. Distance functions from the interior and exterior regions are computed, and final segmentation labels are determined by a competition criterion between the distance functions. We also consider applying a diffusion partial differential equation (PDE) based method to propagate information in a manner inspired by the information propagation feature of the Eikonal equation. Experimental results are presented in a particular medical image segmentation application, and demonstrate the proposed methods.",
author = "Bertrand Peny and Gozde Unal and Greg Slabaugh and Tong Fang and Christopher Alvino",
year = "2006",
doi = "10.1007/11821045\_36",
language = "English",
isbn = "354037597X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "339--348",
booktitle = "Advances in Machine Vision, Image Processing, and Pattern Analysis - International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, IWICPAS 2006, Proceedings",
address = "Germany",
note = "International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, IWICPAS 2006 ; Conference date: 26-08-2006 Through 27-08-2006",
}