开始学习边缘检测/图像识别的最佳文章
我参与了一个个人项目，该项目需要非常广泛的边缘检测和图像分割/对象识别知识。
我知道在编写代码之前规划/理解的重要性，考虑到这一点，了解这些计算领域的最佳起点是什么？我理想地寻找在线文章/论文。
谢谢
I am involved in a personal project which will require pretty extensive knowledge of edge detection and image segmentation/object recognition.
I know the importance of planning/understanding before writing code and with this in mind, what is the best place to start, to learn about these areas of computing? I am ideally looking for online articles/papers.
Thanks
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我发现 Christian Graus 在 Code Project 上的系列文章非常有用：
Image Processing for Dummies with C# 和 GDI+ 第 1 部分 - 每像素过滤器
使用 C# 和 GDI+ 进行图像处理第 2 部分 - 卷积滤波器
使用 C# 和 GDI+ 进行图像处理第 3 部分 - 边缘检测过滤器
使用 C# 和 GDI+ 进行图像处理第 4 部分 - 双线性过滤器和调整大小
使用 C# 和 GDI+ 进行图像处理第 5 部分 - 位移滤镜，包括漩涡
C# 和 GDI+ 图像处理傻瓜式第 6 部分 - HSL 色彩空间
I found the series by Christian Graus on Code Project to be useful:
Image Processing for Dummies with C# and GDI+ Part 1 - Per Pixel Filters
Image Processing for Dummies with C# and GDI+ Part 2 - Convolution Filters
Image Processing for Dummies with C# and GDI+ Part 3 - Edge Detection Filters
Image Processing for Dummies with C# and GDI+ Part 4 - Bilinear Filters and Resizing
Image Processing for Dummies with C# and GDI+ Part 5 - Displacement filters, including swirl
Image Processing for Dummies with C# and GDI+ Part 6 - The HSL color space
我建议寻找好的计算机视觉课程幻灯片，例如这些斯坦福大学一：
一般来说，我通过在大学网站上搜索任何给定主题的 powerpoint 演示文稿来找到有趣的材料：计算机视觉站点：edu 文件类型：ppt< /a>
I would suggest looking for good computer vision course slides, such as these Stanford one:
In general I find interesting materials by googling university sites for powerpoint presentations on any given subject: computer vision site:edu filetype:ppt
您可能希望广泛使用 OpenCv：http://opencv.willowgarage.com/wiki/Welcome
您需要的许多算法已经在 OpenCv 中实现。因此，您的首要任务应该是尽可能多地了解计算机视觉，可能是从有关该主题的书籍而不是在线资源中学习。您会发现在线资源是检查前沿研究或极其基本技术的好地方，而非常需要的中间介绍材料通常会丢失。
You will probably want to make extensive use of OpenCv: http://opencv.willowgarage.com/wiki/Welcome
Many of the algorithms that you need are already implemented in OpenCv. So your first priority should be to LEARN as much about computer vision as possible, probably from books on the topic not online resources. You will find that online resources are great places to check up on cutting edge research or extremely basic techniques, the inbetween introductory material that is very much needed is usually missing.
不久前我为一个大学项目做了一些非常基本的边缘检测。我原型化的算法是拉普拉斯和索贝尔。
这是为我提供实现该算法所需的大部分信息的页面：
http ://www.pages.drexel.edu/~weg22/edge.html
我有一些 C++ 源代码，如果您有兴趣的话，在今天可能会有点可怕。
I did some very basic edge detection for a uni project a while back. The algorithms that I prototyped were Laplace and Sobel.
This is the page that got me most of the info I needed to implement the algorithm:
http://www.pages.drexel.edu/~weg22/edge.html
I have some C++ source code that might be a bit scary from back in the day if you are interested.