Study On Method Of Image Processing In Freight Train Gauge-Exceeding Detecting System

Based on the background of freight train gauge-exceeding detecting system, the thesis makes research on the image processing applied in the system. Based on the digital image processing,the thesis especially introduces the wavelet relevant theory applied in the freight train image denoising and the edge detecting.The thesis first presents the purpose and meaning, it builds the image module and decides the technology way from the practical project background. In the facet of image, According to the freight train will be influenced when it runs, so the collecting image includes the mix noise. Based on the common wavelet shrinkage, because the multistage median filter can not only denoise the salt and pepper noise but also keep the details of the image. The lifting wavelet can dismiss the time of denoising the gauss noise, so the thesis applys the two ways to deniose the mix noise. It gets good effect through practicing the image denoising by the thesis introduced way. So it can build the good foundation for the edge detecting.As the freight train image is collected by the background of the sky. The thesis applies the wavelet modulus maxima technique and the edge following technique to detect the freight train edge, which gets good outcome. According to the realistic and validity of the detecting, the thesis chooses the improved otsu way, it not only strongs the adaptive and accurate, but also dismisses the time of the choosed threshold and the edge detecting .The practices demonstrates that the way of the thesis can detecting the freight train edge, it builds the good foundation for the train gauge-exceeding detecting.In the end of the thesis, it introduces the related fundamental theories of the freight train gauge-exceeding detecting system, points to how to judge the freight train exceeding the gauge and analyzes the function of the image processing in the freight train gauge-exceeding detecting system.