In traffic peccancy detection and algorithm of background updating, we employ the vehicle detection technique based on morphological edge detection and background difference.
对车辆违章行为检测算法以及背景更新算法，我们采用了基于形态边缘检测和背景差分的算法进行检测。
And we analysis the effect that the difference color element have on edge detection and image segmentation, which shows blue element is the most effective.
同时还分析了不同颜色分量对边缘检测及图像分割的影响，结果表明使用蓝色分量效果最好。
Furthermore, we make some improvements on the method of super complex number space transformation, and bring forth a unitary color difference edge detection method.
并对颜色空间变换方法中的超复数空间变换方法提出了归一化的色差边缘检测算法。
Finally, we use the principle of wavelet edge detection and suggest an algorithm of automatic threshold choice according to difference color background in wavelet edge detection.
利用小波边缘检测原理，给出一种能根据不同彩色背景自动选取阀值的小波边缘检测算法。
In allusion to the characteristics of unstructured road, this paper puts forward a kind of the edge detection algorithm based on color difference.
针对非结构化道路的特点，提出了一种基于色度差的边缘检测算法。
It combines organically the edge detection method and the improved frame difference method to effectively detect the moving and stagnant vehicles simultaneously.
将边缘检测法与改进帧差法进行有机结合，有效地实现了运动和静止车辆的同时检测。
According to the difference characteristics of texts and backgrounds, we propose a text detection method by combining edge information and support vector machines.
根据文字与背景存在一定的差异，本文提出了一种将边缘和支持向量机相结合的文字检测算法。
Based on the analysis and on the ratio between region energy threshold difference and region area, the adaptive multiscale edge detection method is developed.
在此基础上提出了一种基于区域能量阈值差与区域面积比值的自适应多尺度方法，最后给出了仿真实验以及与传统方法的对比。
Based on the analysis and on the ratio between region energy threshold difference and region area, the adaptive multiscale edge detection method is developed.
在此基础上提出了一种基于区域能量阈值差与区域面积比值的自适应多尺度方法，最后给出了仿真实验以及与传统方法的对比。
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