文档介绍：毕业设计论文
基于线性滤波技术的边缘检测方法
摘要
随着计算机视觉、机器视觉等相关领域的发展,图像处理发展的非常迅速,边缘检测作为图像处理的一个重要问题一直备受人们关注。
图像的边缘检测是图像分割、目标区域的识别、区域形状提取等图像分析领域十分重要的基础,图像理解和分析的第一步往往就是边缘检测,目前它已成为机器视觉研究领域最活跃的课题之一,在工程应用中占有十分重要的地位。
图像的边缘检测,应用MATLAB进行处理分析,选用此作为计算机通信专业的设计题目,使毕业生在理解运用MATLAB语言的同时处理设计中所使用的微分算子和算法,培养了学生的自学及运用知识解决问题的能力,并适应市场人才的需求,为其在今后的工作学****不断进步打下良好的基础。
关键词:边缘检测,微分子算法, 最优算子法,基于自适应平滑滤波的边缘检测方法, matlab
ABSTRACT
Along with puter vision, the machine vision and so on related domain's development, the imagery processing development is rapid, the marginal check has been subject to the people as an imagery processing's important question to pay attention.
The image marginal check is the image division, the target sector recognition, the region shape extraction and so on image analysis domain very important foundations, the image understanding and the analysis first step often is the marginal check, at present it has e one of machine vision research area most active topics, holds the very important status in the project application.
The image marginal check, carries on the processing analysis using MATLAB, selects this puter correspondence specialized design topic, causes the graduate, in the understanding utilizes the derivative operator which and the algorithm MATLAB the language in the simultaneous working design uses, has raised student's studying independently and solves the question ability using the knowledge, and adapts the market talented person's demand, will progress unceasingly for it in present's work study builds the good foundation.
Key word: Marginal check, scintilla algorithm, most superior operator law, based on auto-adapted smooth filter's marginal check method, matlab
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本人郑重承诺:所呈交的毕业设计(论文),是我个人在指导教师的指导下进行的研究工作及取得的成果。尽我所知,除文中特别加以标注和致谢的地方外,不包含其他人或组织已经发表或公布过的研究成果,也不包含我为获得及其它教育机构的学位或学历而使用过的材料。对本研究提供过帮助和做出过贡献的个人或集体,均已在文中作了明确的说明并表示了谢意。
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