基于腐蚀算法的图像边缘检测的研究与实现

THE STUDY OF IMAGE EDGE DETECTION BASED ON ERODE ALGORITHM

边缘提取与检测在图像处理与识别中占有很重要的地位,其算法的优劣直接影响着所研制系统的性能。现有诸多边缘检测的方法各有其特点,同时也都存在着各自的局限性和不足之处,因此图像的边缘检测这个领域还有待进一步的改进和发展。提出一种用迭代算法求图像分割最佳阈值和运用数学形态学的腐蚀算法实现轮廓提取相结合的图像边缘精确检测算法,并给出仿真实例,与传统的边缘检测算子Laplacian-Gauss算子、prewitt算子和canny算子相比较,算法具有检测精度高和抗干扰能力强的优点。

The technology of edge distilling and detection plays an important role in the domain of image processing and recognition,and it exerts a direct influence on the perpormance of the system. There are many edge detection algorithms, and each has its own characteristics and shortcomings. Therefore, the domain of image processing needs to be bettered and improved farther. A new edge detection method is advanced ,which gives out the best threshold of image segmentation based on iterative algorithm and distills edge by erode algorithm of math morphologics, compared with the traditional edge detection operators, Laplacian-Gauss algorithm operators, prewitt algorithm operators and canny algorithm operators, the proposed algorithm is more accurate and has stronger anti-jamming capacity.