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This paper presents a map search system using Shape context and Bipartite graph matching. Shape context is using for measuring shape similarity and the recovering of point correspondences. After generated from the shape context, Bipartite Graph Matching leads the optimal correspondence between two shapes. For raising the recognition rate, Hierarchical description is used. Shape context is the method...
The study of noise elimination in partial discharge (PD) on-line monitoring for transformer was carried out to early detect the latent failt of power transformer insulation. PD signal usually mixed up all kinds of noise, it was difficult to extract faint PD impulse signal from strong background noise with Fourier transform. Adaptive filtering algorithm based on wavelet packet transform was presented...
The arc furnace is an important load which affects the electrical energy quality of the electrical power system. High harmonic current and low power factor are in 20T arc furnace short net. Here we proposed a Mallat algorithm based on multi-resolution analysis of wavelet transform separating the fundamental current and harmonic current, to detect harmonic current in the short net current. Results...
For vary interval data serial, the data serial is interpolaed by Chaos-dynamic neural network method. combining the chaotic feature of data serial, the method of Wavelet denoising of data serial is improved, and the noise is effectively filtered, while the variation trend and data character of initial data can well be retained, and real signal (abnormal value) can be reserved. So these treatment methods...
This paper presents a method which based on Fourier-Mellin transform registration algorithm to rotate the archaic epigraph images correction without reference object. In our research range, we improve the traditional methods of edge detection based on the characters of archaic epigraph images, propose the block edge detection method and the multi-scale edge detection method based on Wavelet Transform...
An improved multi-focus image fusion method based on wavelet transform is proposed. Firstly, multi-scale decomposition is performed on source images using wavelet transform to get high-frequency and low-frequency sub-images. And then, a method based on neighboring region variance weighted-average is applied to high-frequency sub-image to get the high-frequency fusion coefficient; and a method based...
Abstract-Arc temperature of high voltage circuit breaker arc extinguish chamber directly influences medium recovery characteristic. In order to measure the arc temperature of circuit breaker arc extinguish chamber, one set of optical measuring system adopted CCD, interference filter and neutral density filter is applied in this paper. Images obtained by this optical system are processed by Matlab...
For the purpose of improvement of hoist safety, it's useful to monitor and analyze hoist load. However, existence of noise pollutes the load signals and causes trouble to study them. A certain denoising method should be adopted, which is just what this paper focuses on. As an effective way, wavelet analysis was discussed, about not only its basic principle but also the selection of different wavelet...
It is difficult to get high compression ratio and good reconstructed image by conventional methods; we give a new method of compression on medical image. It is to decompose and reconstruct the medical image by wavelet packet. Before the construction the image, use neural network in place of other coding method to code the coefficients in the wavelet packet domain. By using the Kohonen's neural network...
The accurate measurement of the pulverized-coal concentration in the powder-transmission pipe of the coal pulverizing system of thermal power plant can effectively reflect the operation efficiency of the system, and the preprocessing of several key variables, that are adopted to represent the pulverized-coal concentration, is an important step. In this paper, we propose a preprocessing method based...
This paper presents a novel construction method of compactly supported biorthogonal wavelet. In the course of design, two parameters are used to adjust the characteristics of wavelet. The attributes of biorthogonal wavelet such as supported interval, symmetry and vanishing moments can be chosen in processing of construction. By changing the scale factor and the sign factor, the required wavelet can...
Due to the high accuracy, Daubechies wavelet-based elements have been widely used in many engineering problems. However, comparing with traditional elements, wavelet-based elements always bring in more calculation works, especially as a higher element order is selected. It should be discussed in detail that on the promise of ensuring accuracy, how to select a proper order of Daubechies wavelet-based...
There are more and more images, with the characters of multi-sensory, multi-temporal, multi-resolution and Multi-Band. In the same area these images are fused to be complementary. The Second Generation Bandelet transform can take advantage of the geometrical regularity of image structure and represent sharp image transitions such as edges efficiently in image fusion. Based on this advantage, an algorithm...
Harmonic detection based on Wavelet Transform is one of the hottest problems of the measurement of harmonics in power system. The paper introduces the selecting principle of wavelet function, and chooses the optimum wavelet function used for power harmonic detection, The MATLAB simulation testified that db20 to db30 wavelet are applicable to harmonic detection and we can get not only every harmonic...
Single biometric identification becomes the bottleneck problem of biometric identification technology inevitably because of its limitation and objectivity. In order to solve the problem, double biometric identification technology will become the main direction of future development. This article is based on this idea and adopts handprints recognition which combines fingerprints recognition with palmprints...
This article directs at coal manufacturing cost factors applying support vector machine (SVM) theory, it establishes forecasting model of coal manufacturing cost using wavelet neural network after reducting attribute of influence factors, in order to forecast the coal manufacturing cost effectively.
A new iris recognition system based on Wavelet Packet Analysis is described. The most unique phenotypic feature visible in a person's face is the detailed texture of each eye's iris. The visible texture of a person's iris is encoded into a compact sequence of 2-D wavelet packet coefficients, which generate an "iris code". Two different iris codes are compared using exclusively OR comparisons...
A new segmentation algorithm for the forest fire image based on Fractional Brownian motion and Contour let transform is proposed. Firstly, the algorithm decomposes the image into several sub-bands of multi-scale, location and multi-direction by Contour let transform. Fractional Brownian motion model is performed for low frequency sub-band, and then estimate the Hurst coefficient of each frequency...
In this paper, the time-varying Legendre multifractal spectrum is proposed. Similar to the Wigner-Ville time-frequency analysis, the time-delayed conjugation of analyzed signal is selected as the windows function, and the quadratic time-singularity exponent distribution of the instantaneous self-correlation is deduced based on the short-time multifractal analysis, i.e. quadratic time-singularity multifractal...
This paper aims to estimate the error in the control of a robot arm model by analyzing dynamics of the robot arm. The dynamics of robot arm has represented in the form of second order differential equation. A meticulous attempt has been made to estimate the error by comparing the solutions obtained using Single Term Walsh Series (STWS) and Single-Term Haar Wavelet Series (STHWS) method. The exact...
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