毕业论文 基于小波变换的图像边缘检测技术研究.doc
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毕业论文 基于小波变换的图像边缘检测技术研究,摘要：图像的边缘在图像识别，分割，增强以及压缩等领域中都有较广泛的应用，也是它们的基础。边缘检测是图像处理与分析中最基础的内容之一，也是至今仍没有圆满解决的一类问题。图像的边缘包含了图像的位置、轮廓灯特征，是图像的基本特征之一，广泛的应用于特征描述、图像复原、增强、压缩和处理中。因此，图像边缘和轮廓特征的检测与提取方法...
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摘 要：图像的边缘在图像识别，分割，增强以及压缩等领域中都有较广泛的应用，也是它们的基础。边缘检测是图像处理与分析中最基础的内容之一，也是至今仍没有圆满解决的一类问题。
图像的边缘包含了图像的位置、轮廓灯特征，是图像的基本特征之一，广泛的应用于特征描述、图像复原、增强、压缩和处理中。因此，图像边缘和轮廓特征的检测与提取方法，一直是图像处理与分析技术中的研究热点。
本文研究了一些边缘检测算法，包括Canny算法、Sobel算法、Roberts算法、Prewitt算法和拉普拉斯算法等。传统的图像边缘检测算法对受到噪声污染的图像效果很差，解决该问题的主要方法就是设置阈值，把得到的图像高频部分与阈值相比较以达到去噪的目的。
论文的主要目的是进行图像边缘检测算法性能比较的研究。实验结果表明，相比传统的检测算法，小波变换具有很大的优势。
关键词：边缘检测， 图像处理， 检测算法
Title：Image Edge Detection Based on Wavelet Transformation
Abstract: The image border is in pattern recognition , division , has broader application , is also their basis in fields such as strengthening and compressing. The border detecting is image treatment and one of the basis content, is also a kind of problem not being brought to a satisfactory settlement so far still most in analysis.
The image border has contained the image location , the outline light characteristic , has been one of the image essential features , broad applying to the characteristic describes that , the image restores , the treatment strengthening , compressing a sum is hit by. Therefore, image border composes in reply outline characteristic detecting with extracting method, the hot spot studying in being always that the image handles and analyses a technology.
The algorithm having studied some border detect algorithm , having included the Canny algorithm , Sobel algorithm , Roberts algorithm , Prewitt algorithm and Laplace waits for the main body of a book. The tradition image border detect algorithm is dispatched face to face very much by the image effect that noise contaminates, the method resolving main part that a problem is to interpose threshold value , compare the image high frequency part and threshold value to achieve go and chirp purpose.
The thesis major objective is to carry out parallel research of image border detect algorithm function. The experiment bear fruit is indicated , is compared with each other the tradition detect algorithm , minor wave alternation have very big advantage.
Keywords: Border detecting, Image treatment , Detect algorithm
目 录
摘 要 I
Abstract II
绪 论 1
1 图像边缘检测概述 2
1.1图像边缘检测的发展前景 2
1.2图像边缘检测的应用 2
2 基于一阶微分的边缘检测算法 4
2．1 Roberts算子 4
2.2 Soble 算子 4
2.3 Prewitt算子 4
3 基于二阶微分的边缘检测算法 6
3.1 Laplacian 算子 6
3.2 Log 算子 6
3.3 Canny 算子 6
4 小波变换的边缘检测算法 8
4.1小波变换与多尺度边缘检测 9
4.2 数字图像的小波变换 10
4.3 小波变换 10
5 基于Matlab的实验结果与分析 12
5.1 Matlab简介 12
5.2 小波变换的实验结果与分析 12
结 论 13
注 释 14
参考文献 15
致 谢 16
图像的边缘包含了图像的位置、轮廓灯特征，是图像的基本特征之一，广泛的应用于特征描述、图像复原、增强、压缩和处理中。因此，图像边缘和轮廓特征的检测与提取方法，一直是图像处理与分析技术中的研究热点。
本文研究了一些边缘检测算法，包括Canny算法、Sobel算法、Roberts算法、Prewitt算法和拉普拉斯算法等。传统的图像边缘检测算法对受到噪声污染的图像效果很差，解决该问题的主要方法就是设置阈值，把得到的图像高频部分与阈值相比较以达到去噪的目的。
论文的主要目的是进行图像边缘检测算法性能比较的研究。实验结果表明，相比传统的检测算法，小波变换具有很大的优势。
关键词：边缘检测， 图像处理， 检测算法
Title：Image Edge Detection Based on Wavelet Transformation
Abstract: The image border is in pattern recognition , division , has broader application , is also their basis in fields such as strengthening and compressing. The border detecting is image treatment and one of the basis content, is also a kind of problem not being brought to a satisfactory settlement so far still most in analysis.
The image border has contained the image location , the outline light characteristic , has been one of the image essential features , broad applying to the characteristic describes that , the image restores , the treatment strengthening , compressing a sum is hit by. Therefore, image border composes in reply outline characteristic detecting with extracting method, the hot spot studying in being always that the image handles and analyses a technology.
The algorithm having studied some border detect algorithm , having included the Canny algorithm , Sobel algorithm , Roberts algorithm , Prewitt algorithm and Laplace waits for the main body of a book. The tradition image border detect algorithm is dispatched face to face very much by the image effect that noise contaminates, the method resolving main part that a problem is to interpose threshold value , compare the image high frequency part and threshold value to achieve go and chirp purpose.
The thesis major objective is to carry out parallel research of image border detect algorithm function. The experiment bear fruit is indicated , is compared with each other the tradition detect algorithm , minor wave alternation have very big advantage.
Keywords: Border detecting, Image treatment , Detect algorithm
目 录
摘 要 I
Abstract II
绪 论 1
1 图像边缘检测概述 2
1.1图像边缘检测的发展前景 2
1.2图像边缘检测的应用 2
2 基于一阶微分的边缘检测算法 4
2．1 Roberts算子 4
2.2 Soble 算子 4
2.3 Prewitt算子 4
3 基于二阶微分的边缘检测算法 6
3.1 Laplacian 算子 6
3.2 Log 算子 6
3.3 Canny 算子 6
4 小波变换的边缘检测算法 8
4.1小波变换与多尺度边缘检测 9
4.2 数字图像的小波变换 10
4.3 小波变换 10
5 基于Matlab的实验结果与分析 12
5.1 Matlab简介 12
5.2 小波变换的实验结果与分析 12
结 论 13
注 释 14
参考文献 15
致 谢 16
