@inproceedings{42f5883d84d9433bb9229d4bbc2a1145,
title = "A new scene segmentation method based on color information for mobile robot in indoor environment",
abstract = "Scene segmentation is the basis of autonomous robots environmental understanding. For scene objects show different color characteristics aggregation in the mobile service robot operating indoor environment, this thesis proposes a scene segmentation method based on color layering and Multi-Size filtering. This paper slices the scene by constructing the color layering model and then designs the multi-size filter, which is designed according to the results of detecting the numbers and size of the connected domains in one layer, to segment the target. This paper also builds a robot operating system and the experiments of global environment and local scene are constructed with an average accuracy of scene segmentation and hierarchical, respectively, reaching 96.2 and 92.5 %. The results show that the method can effectively segment the scenes with salient color features.",
keywords = "Color layering, Multi-size filtering, Scene segmentation, Service robot",
author = "Zhang, {Xu Dong} and Zhao, {Qi Jie} and Meng, {Qing Xu} and Tu, {Da Wei} and Yi, {Jin Gang}",
note = "Funding Information: Project supported by the National Natural Science Foundation of China (No. 61101177). Publisher Copyright: {\textcopyright} Zhejiang University Press and Springer Science+Business Media Singapore 2017.; International Conference on Wearable Sensors and Robots, ICWSR 2015 ; Conference date: 16-10-2015 Through 18-10-2015",
year = "2017",
doi = "10.1007/978-981-10-2404-7_28",
language = "English (US)",
isbn = "9789811024030",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "353--363",
editor = "G.S. Virk and Canjun Yang and Huayong Yang",
booktitle = "Wearable Sensors and Robots - Proceedings of International Conference on Wearable Sensors and Robots 2015",
address = "Germany",
}