Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

A novel LBP-Mean shift segmentation algorithm for UAV remote sensing images based on LBP textural features and improved Mean shift algorithm

Authors
Surong Xiang, Jingwen Xu, Junfang Zhao, Yong Li, Shaoyao Zhang
Corresponding Author
Surong Xiang
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.79How to use a DOI?
Keywords
Computer vision; Hyperspectral remote-sensing images; image segmentation; mean shift; LBP texture feature
Abstract
The proposed method deals with the joint use of the textural features and the image edge by the remote-sensing images.A definition of an adaptive segmentation algorithm is considered.Based on LBP features detecting,the textural information associated with each cell images is extracted as the set of connected cell with an similar flag value to which the cell belongs: The cell’s neighborhood is characterized by the color space and light intensity distribution of the corresponding flag zone.The textural information is the original cell’s value,be it a distinctive characteristic.Using Mean shift algorithm,the edge information are jointly used for the segmentation through a change of distance formula. Experiments on hyperspectral and panchromatic images are presented and show a significant increase in segmentation accuracies for village area:For instance,with the overall accuracy is increased from smash with a conventional algorithm to integrity with the proposed approach. Comparisons with other related software methods show that the method is competitive.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.79How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Surong Xiang
AU  - Jingwen Xu
AU  - Junfang Zhao
AU  - Yong Li
AU  - Shaoyao Zhang
PY  - 2015/04
DA  - 2015/04
TI  - A novel LBP-Mean shift segmentation algorithm for UAV remote sensing images based on LBP textural features and improved Mean shift algorithm
BT  - 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 400
EP  - 404
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.79
DO  - https://doi.org/10.2991/icmra-15.2015.79
ID  - Xiang2015/04
ER  -