基于Matlab的改进边缘提取算法

Improved Edge Extraction Algorithm Based on Matlab

在图像的预处理过程中,边缘提取是非常重要的一个环节。针对目前边缘提取算法不能提取有效的图像边缘,提出了对现有图像边缘提取算法进行改进的方案。方案改进的思路是对现有图像预处理算法进行整合和优化一些重要参数,并使用Matlab仿真平台对改进方案进行仿真。在此过程中,使用了Canny边缘提取技术、自适应阈值分割技术和形态学滤波技术等,并对这些方法的处理流程进行分析。仿真结果表明,合理的算法整合能够有效地改进边缘提取的效果。

In the process of image pre-processing,edge extraction is a very important step. Considering that current edge extraction algorithms cannot extract valid image edges,an improve method based on current edge extraction algorithm is proposed. The idea is to integrate some current algorithms and optimize some important parameters,then simulate the algorithm in the Matlab simulation platform. In this process,techniques such as Canny edge extraction,adaptive threshold segmentation and morphological filtering are used,and the processing of these methods are analyzed. The results show that the combination of these methods can effectively improve the quality of edge extraction.