|Pixel-wise skin colour detection based on flexible neural tree|
|Tao Xu; Yunhong Wang; Zhaoxiang Zhang
|Source Publication||IET Image Processing
|Abstract||Skin colour detection plays an important role in image processing and computer vision. Selection of a suitable colour space is one key issue. The question that which colour space is most appropriate for pixel-wise skin colour detection is not yet concluded. In this study, a pixel-wise skin colour detection method is proposed based on the flexible neural tree (FNT) without considering the problem of selecting a suitable colour space. A FNT-based skin model is constructed by using large skin data sets which identifies the important components of colour spaces automatically. Experimental results show improved accuracy and false positive rates (FPRs). The structure and parameters of FNT are optimised via genetic programming and particle swarm optimisation algorithms, respectively. In the experiments, nine FNT skin models are constructed and evaluated on features extracted from RGB, YCbCr, HSV and CIE-Lab colour spaces. The Compaq and ECU datasets are used for constructing FNT-based skin model and evaluating its performance compared with other skin detection methods. Without extra processing steps, the authors method achieves state of the art performance in skin pixel classification and better performance in terms of accuracy and FPRs.|
Image Colour Analysis
|Corresponding Author||Tao Xu|
Tao Xu,Yunhong Wang,Zhaoxiang Zhang. Pixel-wise skin colour detection based on flexible neural tree[J]. IET Image Processing,2013,7(8):751-761.
Tao Xu,Yunhong Wang,&Zhaoxiang Zhang.(2013).Pixel-wise skin colour detection based on flexible neural tree.IET Image Processing,7(8),751-761.
Tao Xu,et al."Pixel-wise skin colour detection based on flexible neural tree".IET Image Processing 7.8(2013):751-761.
|Files in This Item:||
||There are no files associated with this item.
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.