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In life detection radar echo signal is very weak and hard to extract. For solve this problem, weak life signal de-noising based on wavelet transform is studied. Through the studies of wavelet threshold de-noising method, the use of it in weak life signal de-noising in strong noise background, and the verification of simulation by Matlab, the results shows that wavelet threshold de-noising method can...
Diffusion tensor magnetic resonance imaging (DTI) is the main non-invasive utility to reveal the information of local diffusivity of white matter and other fibrous human tissues. Because the diffusion weighted image (DWI) which is used to acquire DTI is sensitive to noise, effective noise removal is required to improve the accuracy of the DTI data and its subsequent applications. Instead of denoise...
Unscented Kalman filter (UKF) is a class of nonlinear filtering methods based on unscented transform within the Kalman filter framework. It is in light of the intuition that to approximate a probability distribution by a set of deterministic samples is easier than to approximate an arbitrary nonlinear transform. The key factors of UKF-the scalar, the state variable dimensions and the noises involved...
Jacquard image denoising is an active research field in jacquard image processing and has attracted much attention in the past years. In this paper, we present a novel denoising algorithm within the framework of variational schemes and Beltrami manifold technique. Variational schemes for image denoising consist of minimizing a functional which incorporates both the data and a Beltrami flow term. The...
The reference presents a novel approach for Chinese character recognition. Based on it, we know that we can treat character recognition as an image matching problem. Compared with traditional OCR, the new approach for character recognition uniquely uses local invariant descriptors as a new feature extraction method. In this paper, we present a new local descriptor which combines the scale-invariant...
Considering the requirements of real time and robustness for the segmentation algorithms for mobile robots, an optimal threshold segmentation algorithm based on mathematical morphology was studied. Two improved measures, i.e., introducing an improved combination filter of median and multi-scale, and increasing morphological opening and closing operation, were proposed for the general optimal threshold...
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