A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.

A fault identification with fuzzy C-Mean clustering algorithm based on improved ant colony algorithm (ACA) is presented to avoid local optimization in iterative process of fuzzy C-Mean (FCM) clustering algorithm and the difficulty in fault cl

改进的非局部均值去噪，采用均值和方差选择相似的图像块。-Improved non-local means denoising, using the mean and variance of the to similar images.

Extraction of the Oscillatory Parameters of Low Frequency Oscillation Based on Improved Local Mean Decomposition