Noise image edge detection based on lifting scheme and floating threshold
基于提升方案和浮动阈值的含噪图像边缘检测

Traditional algorithms of image edge detection were analyzed. In order to better detect the image edge information, firstly, non-linear median filter technology of characteristic direction was applied to filter out the Gauss noise; secondly , (3,1) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filter, and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately. The experimental results show that the algorithm for the image edge detection has higher examination speed and better efficiency.