改进的抗噪形态学边缘检测算法

噪声是影响图像的边缘检测效果的主要因素之一。形态学的各种运算可以有效地去除噪声，利用形态学对含噪图像进行边缘检测的算法已成为人们当今关注的问题。为了提高图像边缘检测的准确性，降低噪声对图像边缘检测的影响，提出了一种改进的抗噪形态学边缘检测算法，且利用两个不同的结构元素进行边缘检测。对于含有椒盐噪声的图像，改进的算法能很好地减弱噪声，得到的图像较平滑、轮廓清晰。边缘定位准确且很好地保留了边缘细节特征。实验结果表明，算法抗噪能力较强，客观评价与视觉效果均好。同时，该算法具有一定的实用性和可行性。

IImproved algorithm of morphology in edge detection to resist the noise

The noise is one of the main factors affecting edge detection of the image. Various morphology operations can remove the noise effectively, and the study of algorithms using morphology to detect the edge of the image with noise is widely concerned in recent years. In order to improve the accuracy of edge detection and reduce the effect of noise on the image edge detection. An improved algorithm of morphology to resist the noise is proposed, using two different structure elements for edge detection. For the image with the salt and pepper noise, the improved algorithm can filter the noise effectively, the improved image is more smooth and clear outline. The edge location is accurate and the detail characteristics of the edge is well retained. The experiment results show that the algorithm has better anti-noise capacity, and the objective evaluation and visual effect are good. Meanwhile, the algorithm has certain practicality and feasibility.