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为了解决日常生活中所需要的拍照的图片矫正和增强锐化功能的需求,开发了一个用于图片边缘检测、矫正与增强锐化的图像处理系统。系统使用 OpenCV 和 Python,通过高斯滤波、Canny 算法、凸包检测、顶点筛选、透视变换、自适应二值化等功能和方法,使用 Tkinter 设计界面,能胜任日常生活中文件、文书、证件、试卷、笔记等材料的数字化整理,并适合打印成纸质档再次存储。系统的矫正鲁棒性好,准确率高,增强锐化后的图片清晰。系统的界面简洁,操作简单,用户友好,能够满足用户的日常需求。

License: MIT License

Python 100.00%

imagecorrection's Introduction

摘要

为了解决日常生活中所需要的拍照的图片矫正和增强锐化功能的需求,开发了一个用于图片边缘检测、矫正与增强锐化的图像处理系统。系统使用 OpenCV 和 Python,通过高斯滤波、Canny 算法、凸包检测、顶点筛选、透视变换、自适应二值化等功能和方法,使用 Tkinter 设计界面,能胜任日常生活中文件、文书、证件、试卷、笔记等材料的数字化整理,并适合打印成纸质档再次存储。系统的矫正鲁棒性好,准确率高,增强锐化后的图片清晰。系统的界面简洁,操作简单,用户友好,能够满足用户的日常需求。

imagecorrection's People

Contributors

evibhm avatar

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