数学形态滤波的图像边缘检测

Image edge detection by mathematical morphological filtering

图像边缘检测是图像中目标识别和分类的基础,针对当前图像边缘检测算法存在易受噪声影响、检测边缘不完整、检测精度低等不足,设计了基于数学形态滤波的图像边缘检测算法。首先采集待检测边缘的图像,并采用小波变换对其进行去噪声处理,减少噪声对边检测结果的干扰,然后采用数学形态滤波方法对图像的边缘进行检测,最后进行图像边缘检测的验证性实验,并与其他算法进行了对比测试,结果表明本文算法可以抑制噪声对图像边缘检测结果的影响,得到十分完整的图像边缘,而且图像边缘检测的整体效果显著优于对比算法。

the image edge detection is the basis of target identification and classification of the images, the image edge detection algorithms are easily affected by noise, edge detection is not complete, low accuracy of detection, the design of the image edge detection algorithm based on mathematical morphology. The first to detect the edge of the image, and the noise processing of the wavelet transform, reduce the noise on edge detection, detection method and mathematical morphological filtering of the image edge, the verification experiments of image edge detection, and were compared with other algorithms,this algorithm can suppress the influence of noise on the detection results of image edge, the image edge is very complete,but the overall effect is significantly better than the contrast image edge detection algorithm.