In this paper, a new method of multi-scale and adaptive thresholds edge detection for image based on wavelet transform was adopted to detect edge of traffic vehicle.
本文把基于小波变换的多尺度自适应阈值图像边缘检测的新方法应用于交通图像边缘检测。
Based on the gradient histogram, the double thresholds can be found. At last, non-maximum suppression based on double thresholds is used to detect the edge.
通过基于梯度直方图来选取双阈值，最后进行基于双阈值的非极大值抑制，得到边缘检测的图像。
Second, high and low thresholds were derived by self-adapting method and local maxima was divided up to obtain corresponding edge;
并分别用低高阈值对局部极大值点进行分割，得到相应边缘点；
Second, high and low thresholds were derived by self-adapting method and local maxima was divided up to obtain corresponding edge;
并分别用低高阈值对局部极大值点进行分割，得到相应边缘点；
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