Architectural Skin color recognition algorithm based on moiré principle analysis

DOI

10.2991/icismme-15.2015.267How to use a DOI?

Keywords

Architecture skin color; Color features; Moiré principle.

Abstract

The traditional architecture skin color localization algorithm uses the gray image texture feature, the texture feature of gray image features and limitations bring great difficulty in getting an architecture skin color localization algorithm. In view of this, this paper puts forward the color of architecture skin color localization algorithm based on the moiré principle analysis. Firstly, two-dimensional wavelet decomposition for image, sliding windows is small ripple bedding features of images; And at the same time convert low-frequency sub-graph RGB color components as HSV color value, extract color feature, Second, wavelet variations positioning architecture skin color area; Finally to locate the architecture skin color positioning results of late correction processing and out-put. The algorithm adopts the comprehensive characteristics of localization, overcomes the drawback of using single feature localization and limitations, and can be seen from the results of this algorithm can accurately extract the architecture skin color location information from the background image.

Copyright

© 2015, 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  - Rongke Jin
AU  - Yan Long
PY  - 2015/07
DA  - 2015/07
TI  - Architectural Skin color recognition algorithm based on moiré principle analysis
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1247
EP  - 1251
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.267
DO  - 10.2991/icismme-15.2015.267
ID  - Jin2015/07
ER  -