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In recent years, many vehicle detection algorithms have been proposed. However, a lot of challenges still remain. Local Binary Pattern (LBP) is one of the most popular texture descriptors which has shown its superiority in face recognition and pedestrian detection. But the original LBP pattern is sensitive to noise especially in flat region where gray levels change rarely. To solve this problem, Local...
The correlator based on acoustic signals is widely used in leak detection and location in water distribution pipe. The accuracy of the localization results depend heavily on the signal-to-noise ratio (SNR) of the acoustic signals that used for calculation. But at present, the study on characteristics of leak acoustic emission in the cast iron pipe is insufficient. So in this paper, taken the cast...
Region growing method is largely used in medical image segmentation. However, there are still some difficulties that have not been well solved as the medical image is complicated. Especially, some of the segmentation methods do well in one kind of image segmentation, but it is poor when it is applied to another image. In order to improve this condition, the article involves an improved method to select...
Since many extremely susceptible components with low-voltage operation or high sensitivity may be affected from EMI noise and thus degrade their performance, the EMI phenomena from IC becomes an issue for semiconductor industry. In this paper, we have designed a TEM Cell and magnetic field probe with high sensitivity and spatial resolution, in accordance with the IC-EMI measurement standard IEC 61967-2...
Hough transform and its revised versions are popular and powerful methods for line detection. However, most of them need edge images as input, and do not consider the scale selection. Besides, it is difficult for Hough-based methods to eliminate spurious peaks caused by noise points. This paper proposes a Principal Component Analysis (PCA) based approach for line segment detection. In the proposed...
The wavelet transform coefficient is processed by using grey relation analysis of the grey theory, and a new wavelet threshold method - GID (grey incidence degree) threshold method based on the wavelet analysis theory is introduced. The test shows that the signal smoothness and similarity of the two signal criteria have been greatly improved by the GID threshold method compared with existing threshold...
MIMO radar can achieve superior performance over the conventional phased-array radar through waveform diversity. Considerations in transmit waveform and receive filter design are central to attaining improved performance through a MIMO system. Moreover, adaptive array techniques are needed to improve accuracy, resolution and to further provide interference suppression. Recently, the weighted least-squares...
This paper addresses the problem of source localization and waveform estimation in array processing applications. We present two nonparametric user parameter free algorithms, namely the iterative adaptive approach (IAA) and the maximum likelihood based IAA (IAA-ML). Both IAA and IAA-ML can work with arbitrary array geometries and uncorrelated as well as coherent sources. We extend IAA and IAA-ML to...
A fast measurement method of human face and a data disposal algorithm to filter noise in the measured points of human face are proposed in this paper. The components and working principle of the measurement system are first analyzed, which uses double CCD (charge coupled device) and line laser as the measurement devices to improve the measuring speed and avoid the measuring blind zone. Then the fuzzy...
We consider signal waveform's optimal under restriction design (SWORD) for active sensing. In the presence of colored interference and noise with known statistical properties, waveform optimization for active sensors such as radar can significantly increase the signal-to-interference-plus-noise ratio needed for much improved target detection. However, the so-obtained optimal waveforms can result in...
We consider signal waveform's optimal under restriction design (SWORD) for active sensing. In the presence of colored interference and noise with known statistical properties, waveform optimization for active sensors such as radar can significantly increase the signal-to-interference-plus-noise ratio needed for much improved target detection. However, the so-obtained optimal waveforms can result in...
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