信息科学与技术学院 计算机视觉 机器视觉 图像工程

C#源码调用EmguCV来进行机器视觉图像处理，代码都是经过本人测试过的（附件包含需要处理的图片、字库等），包含以下功能：OCR识别（中英文）、模板匹配、边缘检测、形态学、车牌识别、二值化、斑点检测、9点标定、找圆、傅里叶变换、滤波处理、分水岭、凸包检测、图像拼接、直方图等等，该代码是经过整理的一个项目、直接打开主窗口就可调用各项功能，简体中文界面，代码也有中文注释

中科院自动化所的计算机视觉课件，是专题的形式，内容很不错，里面有的还有演示。强烈推荐！东西比较多分卷压缩的，一共4个 .

中科院自动化所的计算机视觉课件，是专题的形式，内容很不错，里面有的还有演示。强烈推荐！东西比较多分卷压缩的，一共4个

中科院自动化所的计算机视觉课件，是专题的形式，内容很不错，里面有的还有演示。强烈推荐！东西比较多分卷压缩的，一共4个.

Details Title: Digital Image Processing, 4th Edition Author: Rafael C. Gonzalez, Richard E. Woods Length: 1192 pages Edition: 4 Language: English Publisher: Pearson Publication Date: 2017-03-30 ISBN-10: 0133356728 ISBN-13: 9780133356724 Sales Rank: #680902 (See Top 100 Books) Categories Computers & Technology Engineering & Transportation Engineering Textbooks Description Introduce your students to image processing with the industry’s most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition, which celebrates the book’s 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. ?Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. ?Major revisions and additions were made to examples and homework exercises throughout the book. For the first time, we added MATLAB projects at the end of every chapter, and compiled support packages for you and your teacher containing, solutions, image databases, and sample code. The support materials for this title can be found at www.ImageProcessingPlace.com

主要包括图像数据预处理，并利用深度学习模型进行图像分割

Haclon中函数的中文注释解析，还有些应用例子，是快速掌握Haclon算子开发的很好的资源。文档内容清晰，布局合理，可以较为系统的掌握各算子的应用。

提出了一种基于模糊粗糙集的非结构化路径识别与机器人引导方法。通过自适应面阵列电荷耦合传感器的图像清晰度控制方法，获取了最佳信息量图像。构建了模糊粗糙集的非结构化路径识别模型，借助粗糙集理论预定义图像目标、背景和不确定区域，融合相对模糊连接度竞争机制对不确定区域的像素进行了模糊重分类，精确描绘了机器人的导航路径。该模型可实现未知非结构化路径区域的自动识别，亦可引入灰度先验特征识别指定路径区域。结果表明，该方法对提高机器人在非结构化环境中的自主探索能力具有实际意义。

利用《Detection and Removal of Rain from Videos》这篇论文编写的程序实现视频中雨滴的去处