The Contourlet Transform with the Principal Component Analysis for Palmprint Recognition

2010 ◽  
Author(s):  
Maha Sharkas ◽  
Ibrahim El-Rube ◽  
Mennat Allah Mostafa
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Contourlet Transform ◽  
Palmprint Recognition

Study on Image Fusion Model Based on HIS Transform and Nonsubsampled Contourlet Transform

2012 ◽  
Vol 500 ◽  
pp. 659-665
Author(s):  
Min Cao ◽  
Shan Shan Tan ◽  
Quan Fei Shen
Keyword(s):  
Principal Component Analysis ◽  
Wavelet Transform ◽  
Image Fusion ◽  
Principal Component ◽  
Component Analysis ◽  
Contourlet Transform ◽  
Fusion Method ◽  
Nonsubsampled Contourlet Transform ◽  
Fusion Model ◽  
His Transform

After analysising the principle of nonsubsampled contourlet transform, the image fusion model based on HIS transform and nonsubsampled contourlet transform is proposed. By taking of ALOS image as an example, the image fusion of multi-spectral band and panchromatic band at the same time is carried out by different fusion methods such as the method combining HIS transform and nonsubsampled contourlet transform (NSCT), HIS transform fusion method, principal component analysis (PCA), Brovey and static wavelet transform (SWT). By calculating the quantitative evaluation indicators of the different fused image, it is conclued that the fusion effection of static wavelet transform fusion method and nonsubsampled contourlet transform fusion method is better than the common methods such as HIS transform, principal component analysis and Brovey. In particular, the image fusion effection of nonsubsampled contourlet transform method, which betterly maintains the image spectral information while improving image spatial resolution at the same time, is superior than the fusion evaluation of static wavelet transform fusion method.

Sign in / Sign up

Export Citation Format

Share Document