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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...
An expert system of strip steel surface quality evaluation based on defect detection is proposed in this paper. Take surface defects into consideration, the expert system structure, image processing and detection processing is discussed. The software is designed with modular method to realize the function. This system can not only offer the quality evaluation reports but also provide valuable solution...
In this paper, the face recognition pre-processing algorithm was discussed, which phase correlation algorithm based on FFT is applied to the face recognition. It is a widely used method of image registration, which is used to correct the geometric distortion of translation and rotation in the facial images. The simulation experimental results show that the algorithm mentioned in this paper has the...
In cognitive radio systems, cooperative spectrum sensing is employed to detect the presence of primary user quickly and accurately. In this paper, we propose a new TDMA cooperation protocol to improve the overall agility and spectrum efficiency compared to the existing protocols. By allowing the cognitive users operating in the same band to cooperate, the detection time is reduced and thus the average...
Aimed at the characteristic of metallographical image, a specific image, and based on the multi-structural element in the mathematical morphology, a new method of edge detection is proposed in this paper to deal properly with the double- boundary and the inaccuracy of the boundary localization in the image in the edge detection carried by the traditional edge detection method, such as Roberts, Sobel,...
An edge in an image is the boundary between two different regions. Edge detection is important in image processing and computer vision, particularly in the area of feature detection. An edge often indicates the physical extent of object within the image. An edge detection process ultimately aims to obtain a binary edge map. In this paper, we propose a new scheme for edge detection. It is simple but...
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...
Cluster analysis based on Delaunay diagrams has been widely researched in all kinds of fields. In this article, a new method is proposed to treat with datasets of non-spherical and multi-density clustering. As well as, the problem of noise data is solved by defining the conceptions of In_Points and Out_Points in this method. The above points was illustrated by two simulation experiments.
In order to reduce tire tread pattern noise, an adaptive immune genetic algorithm (AIGA) is presented to optimize tire pitch parameters in this paper. According to character of tire pattern, the algorithm defines crossover, mutation and reverse order operation to improve searching ability. The multiple parameters optimization is discussed in this paper. The simulation results indicate that compared...
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...
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...
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...
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...
To remove the impulsive noise and preserve the fine pixels in color images, a new switching filter called robust rank vector median filter is proposed. The method determines whether the central vector is replaced in the filtering window by the switching noise detector. The filter has better performance, robustness and low computational requirements. Extensive experiments show the new method yields...
In this paper, a novel image denosing scheme is proposed by applying 2D dual-tree complex wavelet transform (DTCWT) to the second bandelet transform. Compared with traditional discrete wavelet transform (DWT), the DTCWT has nearly shift invariant and directionally selective in two and higher dimensions important properties, which are suitable for image denoising. The bandelet transform has offer an...
Wavelet analysis has many advantages that other signal processing tools do not have, it can provide characteristics of the signal both in time domain and frequency domain, it has high resolution, and high resulting accuracy. As a result of these characteristics, this article attempts to adopt the appropriate Wavelet filtering method in de-noising the signal of AC impedance techniques of the signal...
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