一种有效保持边缘的现场足迹边缘检测算法

An Edge-Detection effectively Preserving the Edge Information of Footprints on the Scene

现场足迹的背景图案以及灰尘等噪声往往对足迹细节特征的分析造成较大的干扰。为了能够准确的提取现场足迹的边缘,针对现场足迹的特点,在Canny算子的基础上,给出了一种有效的现场足迹边缘检测算法。首先使用高斯平滑抑制噪声,在二维高斯偏导卷积得到梯度边缘方向后由非极大值抑制和动态阈值边缘连接得到结果。相比较其它的算法,该算子不仅能够抑制噪声,而且能有效地保持边缘。

Noise of background and design of footprints on crime scene and dust generally bring large disturbance to analyze detail of the footprint image.For the sake of detecting edge of footprints exactly,an effective edge detection based on canny operator is provided according to the feature of the footprint image.First suppress noise using Gaussian mask,then calculate gradient and edge direction with convolution of derivative of two-dimensional Gaussian,finally result is obtained through non-maximum suppression and dynamic threshold and linking edge.Compared with other operators,it can not only eliminate noise,but also preserves the edges and details of images effectively.