基于数学形态学的边缘检测算法分析

The analysis of edge detection algorithms based on mathematical morphology

边缘检测算法在图像识别领域具有不可替代的作用。边缘检测在实现的过程中需要考虑边界增强的效应,边缘检测算法的研究有着丰富的理论和经验。但是,图像压缩和图像识别中图像通常被噪声破坏,需优化处理,才能获取较好质量的图像。文中首先介绍了边缘检测算法,依次阐述这些经典算法的优缺点,引入数学形态学这一观点,对边缘检测算法进行结合,将其应用到图像的识别中,通过C++语言编程实现图像效果,最后进行总结与展望,该成果对于图像的处理具有积极的意义。

Edge detection algorithm plays an irreplaceable role in the field of image recognition.Edge detection needs to consider the effect of edge enhancement in the process of implementation.The research of edge detection algorithm has rich theory and experience.However,in image compression and image recognition,the image is usually destroyed by noise.It needs to be optimized to obtain better quality images.Firstly,this paper introduces the edge detection algorithms,then elaborates the advantages and disadvantages of these classical algorithms,introduces the viewpoint of mathematical morphology,combines the edge detection algorithms,applies them to image recognition,achieves image effect through C++programming,and finally summarizes and prospects the results,which has positive significance for image processing.