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Feature extraction and classification algorithm is the key to classification accuracy. Terrain recognition for off-road robot need higher real-time classification algorithm, while the traditional neural network training method is difficult to meet the requirements. Extreme learning machine is used to classify the terrain pictures collected by robot in real time. Experimental results show that the...
Finger vein recognition has become a new hot spot for its superior security features and user acceptance in recent years. According to the features of human finger vein image, a finger vein feature extraction method based on improved adaptive Niblack threshold segmentation algorithm is proposed. In this method, Niblack window parameter and the correction factor are given. In order to finish sufficient...
On the basis of analysis of research status on IMS network security, this paper categorizes and analyzes possible abnormal events in IMS network. Combined with mature detection theories, we present corresponding strategy of detection from application layer to provide theoretical and decisive support for warning and further network process measurements to reduce the loss brought by abnormal events...
Introducing the sensor spectral response into the wavelet-based image fusion methods may produce images closer to which obtained by the ideal sensor. But the wavelet-based image fusion methods are complex because of the wavelet decomposition. This paper presents a simplified image fusion method using sensor spectral response which derives from a wavelet-based one, but need not to do the wavelet decomposition...
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