摘要
一幅数字图像就是一个信息系统,大量的信息是由图像的边缘提供的。在图像处理问题中,边缘作为图像的一种基本特征,为人们描述或识别目标以及解释图像提供了一个重要的特征参数。边缘检测是数字图像处理与分析的基础内容之一,在图像处理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。介绍了边缘检测技术的基本原理,描述了几种边缘检测方法,对各种方法的优缺点进行了分析,并通过试验对不同算子边缘检测结果进行了详细的分析与比较。最后指出在实践中应根据待解决问题的特点和要求决定采用最优的检测方法。
An image is an information system,and a great deal of information is offered by edges of the image.Edge is one of the basic characters of an image,which offers people important parameters to describe and recognize objects in image processing.Edge detection is one of the most basic technologies of the digital image processing and analysis.The technology of edge detection takes an important position in image processing.The accuracy of the algorithm influences the whole capability of the developed system directly.The basic principles of edge detection are introduced,several kinds of edge detection methods are described,the advantages and disadvantages are analyzed,and the experimental results of different edge detection are analyzed and compared in detail.Finally,suggest that the optimal edge detection algorithm can be chosen largely depending on the nature of the problem in practice.
出处
《计算机技术与发展》
2010年第10期141-145,共5页
Computer Technology and Development
基金
黑龙江省科技计划项目(GZ08A109)
黑龙江省教育科研项目(11541323)
关键词
边缘检测
小波变换
神经网络
遗传算法
数学形态学
edge detection
wavelet transform
neural network
genetic algorithm
mathematical morphology
