基于Marr-Hildreth算子多尺度图像边缘检测

Multi-scale Image Edge Detection Based on Marr-Hildreth Operator Algorithm

针对监控图像的不同边缘特征,图像噪声大小和对边缘检测不同的要求,利用Marr-Hildreth拉普拉斯边缘检测算子多尺度特征,使用不同尺度的Δ2G算子,对监控图像进行边缘检测.

As image edge contained most valuable information in an image, so the edge etection was a key link for image processing. Aimed at the different edge characteristic and imagen noise magnitude as well as different demand for edge detection of the monitoring image, this paper-in which utilized th multi-scale characteristic of Marry-Hildreth Laplacian operator Algorithm and used different scale＇s ^2 G operator-has performed edge detection for a monitoring image and also has achieved a better processing effect. Thereby this method can be appled to edge extract in image processing、 investigation for video information processing,the manual-vision,the computer-vision ,image technology and so on.