@inproceedings{79b04abb6ef04b20802ee374f5ecc4e6,
title = "Material segmentation in hyperspectral images with minimal region perimeters",
abstract = "We propose a supervised approach to the classification and segmentation of material regions in hyperspectral imagery. Our algorithm is a two-stage process, combining a pixelwise classification step with a segmentation step aiming to minimise the total perimeters of the resulting regions. Our algorithm is distinctive in its ability to ensure label consistency within local homogeneous areas and to generate material segments with smooth boundaries. Furthermore, we establish a new hyperspectral benchmark dataset to demonstrate the advantages of the proposed approach over several state-of-the-art methods.",
keywords = "Hyperspectral images, Image segmentation, Material classification, Material segmentation, Minimal partition",
author = "Yu Zhang and Huynh, {Cong Phuoc} and Nariman Habili and Ngan, {King Ngi}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd IEEE International Conference on Image Processing, ICIP 2016 ; Conference date: 25-09-2016 Through 28-09-2016",
year = "2016",
month = aug,
day = "3",
doi = "10.1109/ICIP.2016.7532474",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "834--838",
booktitle = "2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings",
address = "United States",
}