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Internet of Vehicles is new concept proposed in recently year extended from Internet of Things. It plays an important role in improving traffic situation. This system is respected as a part of Internet of Vehicles aimed to identify road rage, fatigue driving or drunk driving and so on by recognizing drivers' facial expression. With Internet of Things architecture, this system has a multi-function...
Deformable medical image registration is vital to study anatomical morphology. As for clinical practical use, registration needs to be accurate, efficient and robust to avoid influences caused by various biases added to medical images. In this paper, principal component analysis (PCA) is implemented under the state-of-the-art diffeomorphic log demons registration framework (The corresponding algorithm...
In most situations, acquired digital images always are corrupted by the wrong camera focus, serious illumination even missing data. This algorithm is presented for fusion of corrupted multi-sensor images by noise. Compared to the susceptible properties of PCA by large errors, the proposed method includes adaptive fusion arithmetic based on matrix completion and self-adaptive regional variance estimation...
An algorithm is presented for exploiting the properties of the lifting wavelet transform for multi-sensor image fusion. The method includes adaptive fusion arithmetic based on principal component analysis (PCA) and self-adaptive regional variance estimation. Characteristics of the wavelet coefficients are used to adaptively select fusion rules. A weighting method based on PCA is applied to low-frequency...
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