分类号:TN911.73 U D C:D10621-408-(2024)0326-8密 级:公 开 编 号:2024022141成 都 信 息 工 程 学 院学 位 论 文基于形态学的图像边缘检测技术的讨论论 文 作 者 姓 名 :臧千秋申 请 学 位 专 业 :电子信息工程申 请 学 位 类 别 :工学学士指导老师姓名(职称):赵海全(讲师)论 文 提 交 日 期 :2007 年 06 月 05 日下载后可任意编辑基于形态学的图像边缘检测技术的讨论摘要本文讨论了数字图像处理技术中经典边缘检测算法和基于数学形态学的数字图像边缘检测的方法。经典的图像边缘检测基于对图像像素的一阶求导或二阶求导,而求导运算有放大噪声的作用,因此一般经典的边缘检测算子对噪声比较敏感,不能得到比较好的效果。形态学边缘检测首先通过迭代法得到图像最佳的分割阈值,然后将图像二值化,再利用数学形态学中腐蚀运算实现数字图像的边缘检测。通过仿真软件matlab编写程序实现上述方法,并比较传统的边缘检测算法与基于数学形态学边缘检测的结果。结果表明基于数学形态学的边缘检测可以得到比较好的边缘效果,并且具有很好的抗噪性能。关键词:边缘检测;迭代法;数学形态Research of Image Edge Detection Based on Mathematics MorphologyAbstractThis dissertation has made a detail introduction to traditional algorithms of edge detection used in processing of digital image and a new algorithm of edge detection based on mathematics morphology. The traditional algorithms of edge detection based on the image pixel of one derivative or second derivative, and derivative operations can enlarge noise. Thus, the traditional algorithms of edge detection are sensitive to noise so that they can not get better effect. The best segmentation threshold is obtained from iterative technique first in the edge detection of morphology, then the edge is detected by erosion algorithm. All results of those algorithms are realised by the procedures of matlab, which has made a comparation between traditional algorithms of edge detection used in processing of digital image and ...