A Novel Edge Extraction Algorithm with Detail Information in Noisy Image
一种新的保留细节信息的噪声图像边缘提取算法*

Firstly, the noisy image is filtered by a small scale Gaussian Filter, then a new Large Template Edge Detector is designed in order to get more accurate lead information for the subsequential sub-edge self-reinforces,the edge detector has good performance on accurately locating, suppressing noise and fake edge. Finally, the real edge of noisy image is extracted from the accumulated search trajectories. Experimental results show that the proposed method can extract real edge in noisy image while keeping the image details and outperforms than the classical algorithm.