@inproceedings{ebfd7da86df040ff8c5f1dbea79b0b18,
title = "Crossed-line segmentation for low-level vision",
abstract = "This work describes a new segmentation method for robotic soccer applications. The approach called crossed-line segmentation is based on the combination of region classification and a border detector which meet homogeneity criteria of medians. Experiments suggest that the method outperforms traditional procedure in terms of smoothing and segmentation accuracy. Furthermore, existing noise in the images is also observed to be reduced without missing the objects' borders.",
keywords = "BLOBs, Color-based segmentation, Robotic vision",
author = "John Atkinson and Claudio Castro",
note = "Funding Information: This research is partially sponsored by the National Council for Scientific and Technological Research (FONDECYT, Chile) under grant number 1070714 “An Interactive Natural-Language Dialogue Model for Intelligent Filtering based on Patterns Discovered from Text Documents”.; 11th RoboCup International Symposium, RoboCup 2007 ; Conference date: 09-07-2007 Through 10-07-2007",
year = "2008",
doi = "10.1007/978-3-540-68847-1_50",
language = "English",
isbn = "3540688463",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "472--479",
booktitle = "RoboCup 2007",
}