基于数学形态学的边缘检测的改进算法 本科生毕业设计外文翻译.doc

xx科技学院 毕业设计(论文)外文翻译 学生姓名 xxx 专业班级 信工11-1班 指导教师 xx 职 称　 讲师　　 所在单位 电气工程系信息工程教研室 教研室主任 xx 完成日期 2015年4月5日 The Improved Algorithm of Edge Detection Based on Anthropomorphically Abstract:In morphology,the structural elements of different sizes and shapes have different abilities in maintaining image detail and anti-noise,an adaptive algorithm of edge detection based on Mufti-structure and Mufti-scale element is presented in this paper.First,the existing morphological operators for edge detection are improved. Then,the weight coefficients of different scales and different shapes are determined respectively by using the method of morphological difference and calculating the information entropy of the edge-detected. Last,fuse together the edges to achieve the image edge.For the image with noise,the algorithm can filter out noise effectively, and the edge is continuous,smooth,clear outline.The experiment results show that the algorithm has good effect in edge detection,strong anti-noise capacity,and the objective evaluation and visual effect are good, too. Keywords: image processing, edge detection, mathematical morphology, integration 1. Introduction Image edge is one of the most basic characteristic of the image;it not only contains a large amount of information,but also is an important basis about the image analysis and image segmentation.Therefore,image edge has a wide application prospect.Edge detection is widely used in image segmentation,image matching, feature extraction,and other fields.It is also an important research direction of computer vision.There are many kinds of algorithms for image edge detection.The traditional algorithms for edge detection have Laplace operator,Roberts operator,So operator,Canny operator and so on [4],the main function of these operators is high-pass filter,each of them has different characteristics and pertinence.But the traditio