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In a visual driver-assistance system, vehicle detection is one of the major tasks. This paper presents a vehicle detection method based on multi-features fusion in the images acquired by a fisheye camera. The vehicle detection algorithm can be divided into three main steps: fisheye image calibration, generation of candidates with respect to a vehicle and verification of the candidates. In the fist...
It is a difficult problem that targets are detected in nature background, especially in images corrupted by noise. In order to solve this problem, a method based on feature salience is proposed for targets automatic detection in nature background. Firstly, an adaptive wavelet thresholding method is used to denoise for noisy target images. Then minimum probability of error was been used to build to...
In this paper, the Mallat algorithm of wavelet transformation is adopted to determine the deflection point of the temperature curve in the dew-point auto-detection instruments. By this method, the useful signal can be effectively extracted out of intensive background noise, and highly repeatable value of the deflection point can be obtained in only 3-5 measurements. Compared with the traditional method,...
In this paper, the principle, process and experimental analysis for the single extraction of auditory brainstem potential by wavelet transformation are discussed. The results indicate that, by a wavelet filter obtained from correlation analysis between results of wavelet transformation and traditional superposing and averaging method, the auditory brainstem response signal can be extracted from the...
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