An X-corner detection algorithm based on checkerboard features

DOI

10.2991/lemcs-14.2014.44How to use a DOI?

Keywords

X-corner features; corner detection; black and white area; gray difference; gray symmetry

Abstract

The paper presents an X-corner detection algorithm based on the neighborhood features of the X-corner. It makes use of the features in the neighborhood of X-corners to detect X-corners, which include the black or white area occupying half of the neighborhood area and a large gray difference between black and white, as well as the grayscale symmetry of the pixels in the neighborhood. Experiments show that the algorithm can detect the real X-corner effectively and fast, so it is suitable for the X-corner real-time detection.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Wang
AU  - Wenhui Liu
AU  - Chang Liu
PY  - 2014/05
DA  - 2014/05
TI  - An X-corner detection algorithm based on checkerboard features
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 190
EP  - 193
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.44
DO  - 10.2991/lemcs-14.2014.44
ID  - Wang2014/05
ER  -