Image skin segmentation based on multi-agent learning Bayesian and neural network
Skin colour is considered to be a useful and discriminating spatial feature for many skin detection-related applications, but it is not sufficiently robust to address complex image environments because of light-changing conditions, skin-like colours and reflective glass or water. These factors can c...
Saved in:
Main Authors: | Zaidan, A. A., Ahmad, Nurul Nadia, Abdul Karim, Hezerul, Larbani, Moussa, Zaidan, B. B., Sali, Aduwati |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2014
|
Online Access: | http://psasir.upm.edu.my/id/eprint/37931/1/Image%20skin%20segmentation%20based%20on%20multi-agent%20learning%20Bayesian%20and%20neural%20network.pdf http://psasir.upm.edu.my/id/eprint/37931/ http://www.sciencedirect.com/science/article/pii/S0952197614000578 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Image skin segmentation based on multi-agent learning Bayesian and neural network
by: Aos Alaa, Zaidan, et al.
Published: (2014) -
On multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: an automated anti-pornography system
by: Zaidan, Aws Alaa, et al.
Published: (2014) -
On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: an automated anti-pornography system
by: Zaidan , A. A., et al.
Published: (2014) -
A novel hybrid module of skin detector using grouping histogram technique for Bayesian method and segment adjacent-nested technique for neural network
by: Zaidan, A.A., et al.
Published: (2010) -
Robust Pornography Classification Solving the Image Size Variation Problem Based on Multi-Agent Learning
by: Zaidan, A.A., et al.
Published: (2015)