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As an important image processing technology, face recognition is an active subject in the fields of biometrics, but the low recognition rate hampers its wider use. In order to improve the operation speed and precision, a modified PCA(Principal Component Analysis) based face recognition algorithm is proposed, before applying PCA transform, background removal operation based on skin-color detection...
The construction of the water vapor monitoring by ground-based GPS network in our country is still at the starting stage at present and some technology is still unripe . If there are some data in which GPS original data or the surface meteorological elements are lacked, it is unable to calculate out precipitable water vapor by GPS. It not only affects the continuous monitoring of the water variation,...
Based on research of principal component analysis, the principal component analysis is introduced to medical image fusion. The K-L transform is used to multi-mode images. Then a new matrix is composed. A eigenvector which accounts for above 90 percent in contribution of variance about the new matrix is adopted to obtain principal components. Using principal components can carry on image fusion. The...
An intelligent fault diagnosis method based on principal component analysis (PCA) and least squares support vector machines (LS-SVM) is proposed. The characteristic parameter set is obtained by wavelet packet transform (WPT). And PCA is used to extract the principal features associated with the diagnosing object. Then, the training data set which is reduced from the original parameters are used as...
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