Wavelet applications in many fields in recent years the advantages of wavelet analysis theory by making the common concern of many disciplines. Text image edge detection has been an important issue, and there have been new algorithms and theory of the emergence of the algorithm based on wavelet transform is an important part.Wavelet transform to detect the edge of the most classic is a great value algorithm.This paper gives the maximum modulus algorithm, a theorem proved by experiments on various other algorithms (such as the Canny algorithm, Sobel algorithm) and different characters to compare the edge extraction. This article also describes the text based on wavelet transform image fusion and image enhancement achieved through the Matlab program experiment.This also verified by Matlab wavelet transform image processing with good results.
Keywords：Wavelet Transform;MMA ;Edge Detection;Image strengthen;Handled Image fuses
目 录
摘 要 I
Abstract II
目 录 III
第一章 绪论 1
1.1 引言 1
1.2 小波分析在文字图像处理中的应用 1
第二章 预备知识 3
2.1 多分辨率分析 3
2.2 尺度函数和小波变换 3
2.3 连续小波变换的基本概念 5
2.4 连续小波变换性质 6
2.5 小波分解算法 7
2.5.1 小波分解算法 7
2.5.2 小波重构算法 8
第三章 小波分析及文字图像处理 10
3.1 小波对文字边缘进行检测 10
3.1.1 小波变换模极大值算法 10
3.1.2 图像边缘定义和小波变换 12
3.1.3 Canny算法 13
3.1.4 Sobel算法 14
3.2 小波变换图像融合 15
3.3 小波变换图像增强 17
第四章 实验过程及结果 18
4.1 文字图像边缘检测实验 18
4.2 文字图像融合实验 20
4.3 文字图像增强实验 21
结 论 24
致 谢 25
参考文献 26
附 录 27
