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This paper focuses on the study of nonlinear and non-stationary characteristics of the fault vibration signal of roller bearing. Based on improved Local Mean Decomposition (LMD) and Chirp-Z Transform (CZT), a novel hybrid fault feature extraction method is proposed. Firstly LMD is used to decompose the original vibration signal into several product functions (PF) components with physical meaning....
Bag of words (BoW) model, which was originally used for document processing field, has been introduced to computer vision field recently and used in object recognition successfully. However, in face recognition, the order less collection of local patches in BoW model cannot provide strong distinctive information since the objects (face images) belong to the same category. A new framework for extracting...
A novel image fusion algorithm based on wavelet lifting scheme is presented. The lifting scheme is a new idea of constructing wavelets and has several unique advantages over conventional convolution-based wavelet transform. It allows for an in-place implementation of wavelet transform and reduces computation time and memory requirement greatly. So in this fusion algorithm, the lifting wavelet transform...
Human detection is a new rising research area, involving pattern recognition, image processing, computer vision, human kinematics, artificial intelligence and machine learning and so on. It is a multi-disciplinary research direction. Head can be recognized by computer easily. The first feature selected by a robust and efficient human body detection system must be head features. Nowadays, the human...
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