blocks|key|3774909|text|OpenCV+(开放计算机视觉)是最受欢迎的库，并且已经为C#包装：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3774910|http://www.codeproject.com/KB/cs/Intel_OpenCV.aspx|offset|length|3774911|下面是关于这个包装器和库的一些讨论：|3774912|http://coolthingoftheday.blogspot.com/2008/08/opencv-open-source-computer-vision-for.html|3774913|-Adam|3774914|entityMap|0|LINK|mutability|MUTABLE|url|1^0|0|0|1E|0|0|0|0|2H|1|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@$D|V|E|W|1|X]]|A|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|Z|8|@]|9|@$D|10|E|11|1|12]]|A|$]]|$1|J|3|K|5|6|7|13|8|@]|9|@]|A|$]]|$1|L|3|-4|5|6|7|14|8|@]|9|@]|A|$]]]|M|$N|$5|O|P|Q|A|$R|C]]|S|$5|O|P|Q|A|$R|I]]]]

OpenCV (Open Computer Vision) is the most popular library, and it has been wrapped for C#:

<a href="http://www.codeproject.com/KB/cs/Intel_OpenCV.aspx" rel="noreferrer">http://www.codeproject.com/KB/cs/Intel_OpenCV.aspx</a>

Some discussion about this wrapper and the library in general is here: 

<a href="http://coolthingoftheday.blogspot.com/2008/08/opencv-open-source-computer-vision-for.html" rel="noreferrer">http://coolthingoftheday.blogspot.com/2008/08/opencv-open-source-computer-vision-for.html</a>

-Adam

blocks|key|3775134|text|视觉代码示例|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3775135|卡内基梅隆大学University|3775136|Open+Source+Computer+Vision+Library+-+Sourceforge|unordered-list-item|offset|length|3775137|
|3775138|Computer+Vision+Test+Images|3775139|3775140|libsift+-+Scale-Invariant+Feature+Transform+implementation|3775141|3775142|C#+wrapper+for+OpenCV|3775143|3775144|资源|3775145|3775146|Computer+Vision+Online+-计算机视觉Online|3775147|Computer+Vision+"Home"+-卡内基梅隆大学-卡迪夫计算机学院-诺丁汉大学计算机科学Department|3775148|Feature+Detection+-维基百科Article|3775149|Scale-Invariant+Feature+Transform+-维基百科文章|3775150|3775151|堆栈溢出问题|3775152|3775153|Where+do+I+learn+about+Image+Processing+and+Object+Recognition?|3775154|Image+Processing+Textbooks?|3775155|Computer+Vision+References|3775156|3775157|entityMap|0|LINK|mutability|MUTABLE|url|http://sourceforge.net/projects/opencvlibrary/|1|http://www.cs.cmu.edu/%257Ecil/v-images.html|2|http://www.nowozin.net/sebastian/tu-berlin-2006/libsift/|3|http://coolthingoftheday.blogspot.com/2008/08/opencv-open-source-computer-vision-for.html|4|http://www.computervisiononline.com/|5|http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html|6|http://en.wikipedia.org/wiki/Feature_detection_(computer_vision)|7|http://en.wikipedia.org/wiki/Scale-invariant_feature_transform|8|https://stackoverflow.com/questions/432569/where-do-i-start-learning-about-image-processing-and-object-recognition|9|https://stackoverflow.com/questions/207092/image-processing-textbook|10|https://stackoverflow.com/questions/98438/computer-vision-reference^0|0|0|0|Z|0|0|0|0|R|1|0|0|0|1M|2|0|0|0|L|3|0|0|0|0|0|M|4|0|0|M|5|0|0|H|6|0|0|X|7|0|0|0|0|0|1R|8|0|0|R|9|0|0|Q|A|0|0^^$0|@$1|2|3|4|5|6|7|27|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|28|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|29|8|@]|9|@$G|2A|H|2B|1|2C]]|A|$]]|$1|I|3|J|5|6|7|2D|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|2E|8|@]|9|@$G|2F|H|2G|1|2H]]|A|$]]|$1|M|3|J|5|6|7|2I|8|@]|9|@]|A|$]]|$1|N|3|O|5|F|7|2J|8|@]|9|@$G|2K|H|2L|1|2M]]|A|$]]|$1|P|3|J|5|6|7|2N|8|@]|9|@]|A|$]]|$1|Q|3|R|5|F|7|2O|8|@]|9|@$G|2P|H|2Q|1|2R]]|A|$]]|$1|S|3|-4|5|6|7|2S|8|@]|9|@]|A|$]]|$1|T|3|U|5|6|7|2T|8|@]|9|@]|A|$]]|$1|V|3|-4|5|6|7|2U|8|@]|9|@]|A|$]]|$1|W|3|X|5|F|7|2V|8|@]|9|@$G|2W|H|2X|1|2Y]]|A|$]]|$1|Y|3|Z|5|F|7|2Z|8|@]|9|@$G|30|H|31|1|32]]|A|$]]|$1|10|3|11|5|F|7|33|8|@]|9|@$G|34|H|35|1|36]]|A|$]]|$1|12|3|13|5|F|7|37|8|@]|9|@$G|38|H|39|1|3A]]|A|$]]|$1|14|3|-4|5|6|7|3B|8|@]|9|@]|A|$]]|$1|15|3|16|5|6|7|3C|8|@]|9|@]|A|$]]|$1|17|3|-4|5|6|7|3D|8|@]|9|@]|A|$]]|$1|18|3|19|5|F|7|3E|8|@]|9|@$G|3F|H|3G|1|3H]]|A|$]]|$1|1A|3|1B|5|F|7|3I|8|@]|9|@$G|3J|H|3K|1|3L]]|A|$]]|$1|1C|3|1D|5|F|7|3M|8|@]|9|@$G|3N|H|3O|1|3P]]|A|$]]|$1|1E|3|-4|5|6|7|3Q|8|@]|9|@]|A|$]]|$1|1F|3|-4|5|6|7|3R|8|@]|9|@]|A|$]]]|1G|$1H|$5|1I|1J|1K|A|$1L|1M]]|1N|$5|1I|1J|1K|A|$1L|1O]]|1P|$5|1I|1J|1K|A|$1L|1Q]]|1R|$5|1I|1J|1K|A|$1L|1S]]|1T|$5|1I|1J|1K|A|$1L|1U]]|1V|$5|1I|1J|1K|A|$1L|1W]]|1X|$5|1I|1J|1K|A|$1L|1Y]]|1Z|$5|1I|1J|1K|A|$1L|20]]|21|$5|1I|1J|1K|A|$1L|22]]|23|$5|1I|1J|1K|A|$1L|24]]|25|$5|1I|1J|1K|A|$1L|26]]]]

<h3>Sample Vision Code</h3>
<ul>
<li><a href="http://www.cs.cmu.edu/%7Ecil/v-source.html" rel="noreferrer">Vision Source Code</a> - Carnegie Mellon University</li>
<li><a href="http://sourceforge.net/projects/opencvlibrary/" rel="noreferrer">Open Source Computer Vision Library</a> - Sourceforge</li>
<li><a href="http://www.cs.cmu.edu/%7Ecil/v-images.html" rel="noreferrer">Computer Vision Test Images</a></li>
<li><a href="http://www.nowozin.net/sebastian/tu-berlin-2006/libsift/" rel="noreferrer">libsift - Scale-Invariant Feature Transform implementation</a></li>
<li><a href="http://coolthingoftheday.blogspot.com/2008/08/opencv-open-source-computer-vision-for.html" rel="noreferrer">C# wrapper for OpenCV</a></li>
</ul>
<h3>Resources</h3>
<ul>
<li><a href="http://www.computervisiononline.com" rel="noreferrer">Computer Vision Online</a> - Computer Vision Online</li>
<li><a href="http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html" rel="noreferrer">Computer Vision &quot;Home&quot;</a> - Carnegie Mellon University</li>
<li><a href="http://www.cs.cf.ac.uk/Dave/Vision_lecture/Vision_lecture_caller.html" rel="noreferrer">Lecture on Vision Systems</a> - Cardiff School of Computer Science</li>
<li><a href="http://www.cs.nott.ac.uk/%7Etpp/G5BVIS/lectures.html" rel="noreferrer">Lectures on Computer Vision Systems</a> - The University of Nottingham Computer Science Department</li>
<li><a href="http://en.wikipedia.org/wiki/Feature_detection_(computer_vision)" rel="noreferrer">Feature Detection</a> - Wikipedia Article</li>
<li><a href="http://en.wikipedia.org/wiki/Scale-invariant_feature_transform" rel="noreferrer">Scale-Invariant Feature Transform</a> - Wikipedia Article</li>
</ul>
<h3>Stack Overflow Questions</h3>
<ul>
<li><a href="https://stackoverflow.com/questions/432569/where-do-i-start-learning-about-image-processing-and-object-recognition">Where do I learn about Image Processing and Object Recognition?</a></li>
<li><a href="https://stackoverflow.com/questions/207092/image-processing-textbook">Image Processing Textbooks?</a></li>
<li><a href="https://stackoverflow.com/questions/98438/computer-vision-reference">Computer Vision References</a></li>
</ul>

blocks|key|4619724|text|虽然OpenCV库使用起来很有趣，但在您学习的过程中，它并没有提供太多的透明度。如果您有兴趣实际了解该领域，我建议您研究低级图像处理库并实现您自己的计算机视觉应用程序。一旦您编写了自己的基本CV应用程序，使用OpenCV库就会变得容易得多。我建议使用以下主题来快速完成基础知识：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4619725|在使用视差图的立体图像中使用detection|4619726|trying+segmentation|unordered-list-item|4619727|
|4619728|reconstructing+|4619729|4619730|从立体图像中获取彩色3d信息的边缘视差图sobel算子|4619731|4619732|这是一个有一些很好的测试图像的网站(http://www.cs.cmu.edu/~cil/v-images.html)。|offset|length|4619733|我还在(http://www.cs.nott.ac.uk/~tpp/G5BVIS/lectures.html)上找到了一个很好的课程幻灯片资源，涵盖了这些主题的大部分内容|4619734|Happy+hacking+=)|4619735|entityMap|0|LINK|mutability|MUTABLE|url|http://www.cs.cmu.edu/~cil/v-images.html|1|http://www.cs.nott.ac.uk/~tpp/G5BVIS/lectures.html^0|0|0|0|0|0|0|0|0|I|14|0|0|4|1E|1|0|0^^$0|@$1|2|3|4|5|6|7|16|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|17|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|18|8|@]|9|@]|A|$]]|$1|G|3|H|5|6|7|19|8|@]|9|@]|A|$]]|$1|I|3|J|5|F|7|1A|8|@]|9|@]|A|$]]|$1|K|3|-4|5|F|7|1B|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|1C|8|@]|9|@]|A|$]]|$1|N|3|-4|5|6|7|1D|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|1E|8|@]|9|@$Q|1F|R|1G|1|1H]]|A|$]]|$1|S|3|T|5|6|7|1I|8|@]|9|@$Q|1J|R|1K|1|1L]]|A|$]]|$1|U|3|V|5|6|7|1M|8|@]|9|@]|A|$]]|$1|W|3|-4|5|6|7|1N|8|@]|9|@]|A|$]]]|X|$Y|$5|Z|10|11|A|$12|13]]|14|$5|Z|10|11|A|$12|15]]]]

While the OpenCV library is interesting to use, it doesn't offer a lot of transparency as you learn. If you're interested in actually learning about the field, I would recommend looking into low-level image processing libraries and implementing your own Computer Vision applications. Once you've coded your own basic CV applications, using the OpenCV library becomes a lot easier. I would suggest the following topics to advance quickly through the basics:

<ul>
<li>sobel operators for edge detection</li>
<li>trying your hand at color segmentation</li>
<li>reconstructing 3d information from stereo images using disparity maps</li>
</ul>

Here's a site with some good test images (<a href="http://www.cs.cmu.edu/~cil/v-images.html" rel="noreferrer">http://www.cs.cmu.edu/~cil/v-images.html</a>).

I also found a good resource of course slides that cover the majority of these topics at (<a href="http://www.cs.nott.ac.uk/~tpp/G5BVIS/lectures.html" rel="noreferrer">http://www.cs.nott.ac.uk/~tpp/G5BVIS/lectures.html</a>)

Happy hacking =)

blocks|key|3774845|text|以下是您可能会发现有用的代码、工具包和应用程序的大量集合|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3774846|http://www.cs.cmu.edu/~cil/v-source.html|offset|length|3774847|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|14|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@]|9|@$D|O|E|P|1|Q]]|A|$]]|$1|F|3|-4|5|6|7|R|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|C]]]]

Here's a large collection of code, toolkits, and apps you might find useful

<a href="http://www.cs.cmu.edu/~cil/v-source.html" rel="noreferrer">http://www.cs.cmu.edu/~cil/v-source.html</a>

blocks|key|4619668|text|你可以从这个网站上的一些类似的问题开始：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4619669|4619670|where-do-i-start-learning-about-image-processing-and-object-recognition|unordered-list-item|offset|length|4619671|image-processing-textbook|4619672|computer-vision-reference|4619673|4619674|我也可以看看这两个网站：|4619675|4619676|http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html|4619677|http://www.cs.cf.ac.uk/Dave/Vision_lecture/Vision_lecture_caller.html|4619678|4619679|这些站点提供信息、教程和代码示例，即使它们不再是主动维护的。|4619680|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/432569/where-do-i-start-learning-about-image-processing-and-object-recognition|1|https://stackoverflow.com/questions/207092/image-processing-textbook|2|https://stackoverflow.com/questions/98438/computer-vision-reference|3|4^0|0|0|0|1Z|0|0|0|P|1|0|0|P|2|0|0|0|0|0|1P|3|0|0|1X|4|0|0|0^^$0|@$1|2|3|4|5|6|7|1A|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|1B|8|@]|9|@]|A|$]]|$1|C|3|D|5|E|7|1C|8|@]|9|@$F|1D|G|1E|1|1F]]|A|$]]|$1|H|3|I|5|E|7|1G|8|@]|9|@$F|1H|G|1I|1|1J]]|A|$]]|$1|J|3|K|5|E|7|1K|8|@]|9|@$F|1L|G|1M|1|1N]]|A|$]]|$1|L|3|-4|5|6|7|1O|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|1P|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|1Q|8|@]|9|@]|A|$]]|$1|P|3|Q|5|E|7|1R|8|@]|9|@$F|1S|G|1T|1|1U]]|A|$]]|$1|R|3|S|5|E|7|1V|8|@]|9|@$F|1W|G|1X|1|1Y]]|A|$]]|$1|T|3|-4|5|6|7|1Z|8|@]|9|@]|A|$]]|$1|U|3|V|5|6|7|20|8|@]|9|@]|A|$]]|$1|W|3|-4|5|6|7|21|8|@]|9|@]|A|$]]]|X|$Y|$5|Z|10|11|A|$12|13]]|14|$5|Z|10|11|A|$12|15]]|16|$5|Z|10|11|A|$12|17]]|18|$5|Z|10|11|A|$12|Q]]|19|$5|Z|10|11|A|$12|S]]]]

You could start by looking at some of the similar questions on this site:

<ul>
<li><a href="https://stackoverflow.com/questions/432569/where-do-i-start-learning-about-image-processing-and-object-recognition">where-do-i-start-learning-about-image-processing-and-object-recognition</a></li>
<li><a href="https://stackoverflow.com/questions/207092/image-processing-textbook">image-processing-textbook</a></li>
<li><a href="https://stackoverflow.com/questions/98438/computer-vision-reference">computer-vision-reference</a></li>
</ul>

I can also look at these two sites:

<ul>
<li><a href="http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html" rel="nofollow noreferrer">http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html</a></li>
<li><a href="http://www.cs.cf.ac.uk/Dave/Vision_lecture/Vision_lecture_caller.html" rel="nofollow noreferrer">http://www.cs.cf.ac.uk/Dave/Vision_lecture/Vision_lecture_caller.html</a></li>
</ul>

The sites provide information, tutorials and code examples, even though they are not actively maintained anymore.

blocks|key|1143312|text|在sourceforge上有一个OpenCV项目，你也可以得到一本书。You+can+see+it+here。但是，这不是.NET解决方案，而是C语言|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1143313|entityMap|0|LINK|mutability|MUTABLE|url|http://sourceforge.net/projects/opencvlibrary/^0|Z|J|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

There is the OpenCV project on sourceforge with a book that you can get as well. <a href="http://sourceforge.net/projects/opencvlibrary/" rel="nofollow noreferrer">You can see it here</a>. However, that is not a .NET solution it is C

blocks|key|1143344|text|我推荐Open+Computer+Vision+Library。它被很多人提及，看起来也很有前途。它甚至还有一本O‘’Reilly的书:)|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1143345|1143346|开放计算机视觉库拥有500多种用于实时计算机视觉的算法、文档和示例代码。教程文档在O‘’Reilly|blockquote|1143347|
中|1143348|entityMap|0|LINK|mutability|MUTABLE|url|http://sourceforge.net/projects/opencvlibrary/^0|3|S|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@$A|S|B|T|1|U]]|C|$]]|$1|D|3|-4|5|6|7|V|8|@]|9|@]|C|$]]|$1|E|3|F|5|G|7|W|8|@]|9|@]|C|$]]|$1|H|3|I|5|6|7|X|8|@]|9|@]|C|$]]|$1|J|3|-4|5|6|7|Y|8|@]|9|@]|C|$]]]|K|$L|$5|M|N|O|C|$P|Q]]]]

I recommend <a href="http://sourceforge.net/projects/opencvlibrary/" rel="nofollow noreferrer">Open Computer Vision Library</a>. It's much spoken of and looks promising. It even has an O'Reilly accompanying book :)

<blockquote>
 The Open Computer Vision Library has >
 500 algorithms, documentation and
 sample code for real time computer
 vision. Tutorial documentation is in
 O'Reilly Book
</blockquote>

blocks|key|4619587|text|最近我在SIFT上做了一些工作，它似乎是feature+detection的一个相当有趣的现代算法，这是机器视觉中的主要(也许更高级)主题之一。有人为SIFT编写了一个C#+library，它有一个很好的例子，可以自动将同一场景的单独照片拼接在一起。诚然，这不是一个非常完整的答案，我也不能推荐一本参考书，但希望它能对你有所帮助……|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|4619588|entityMap|0|LINK|mutability|MUTABLE|url|http://en.wikipedia.org/wiki/Scale-invariant_feature_transform|1|http://en.wikipedia.org/wiki/Feature_detection_(computer_vision))|2|http://user.cs.tu-berlin.de/~nowozin/libsift/^0|4|4|0|K|H|1|2C|A|2|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@$A|Q|B|R|1|S]|$A|T|B|U|1|V]|$A|W|B|X|1|Y]]|C|$]]|$1|D|3|-4|5|6|7|Z|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]|L|$5|G|H|I|C|$J|M]]|N|$5|G|H|I|C|$J|O]]]]

I've done a bit of work with <a href="http://en.wikipedia.org/wiki/Scale-invariant_feature_transform" rel="nofollow noreferrer">SIFT</a> in the recent past and it seems to be a rather interesting modern algorithm for <a href="http://en.wikipedia.org/wiki/Feature_detection_(computer_vision)" rel="nofollow noreferrer">feature detection</a>, which is one of the major (and perhaps more advanced) topics within machine vision. Someone has written a <a href="http://user.cs.tu-berlin.de/~nowozin/libsift/" rel="nofollow noreferrer">C# library</a> for SIFT with a pretty nice example that can automatically stitch together separate photographs of the same scene. Admittedly, this isn't a very complete answer, and I can't recommend a reference book, but hopefully it should be of some use to you anyway...

blocks|key|554527|text|这个AForge.NET+library非常好，并且是用C#编写的，源代码是here。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|554528|支持的功能包括：|554529|带有图像处理例程和filters;|554530|AForge.Vision的|unordered-list-item|554531|AForge.Imaging库-计算机视觉library;|554532|AForge.Neuro+-神经网络计算library;|554533|AForge.Genetic+-进化编程library;|554534|AForge.Fuzzy+-模糊计算library;|554535|AForge.MachineLearning+-机器学习library;|554536|AForge.Robotics库提供对某些机器人技术的支持kits;|554537|AForge.Video+-用于视频处理的库集合等。|554538|554539|554540|这些算法可能不像其他一些答案那样尖端/学术，但却解决了很多工程问题(将视频放入应用程序中，等等)。|554541|entityMap|0|LINK|mutability|MUTABLE|url|http://www.aforgenet.com/|1|http://code.google.com/p/aforge/^0|2|I|0|12|4|1|0|0|0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|1C|8|@]|9|@$A|1D|B|1E|1|1F]|$A|1G|B|1H|1|1I]]|C|$]]|$1|D|3|E|5|6|7|1J|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|1K|8|@]|9|@]|C|$]]|$1|H|3|I|5|J|7|1L|8|@]|9|@]|C|$]]|$1|K|3|L|5|J|7|1M|8|@]|9|@]|C|$]]|$1|M|3|N|5|J|7|1N|8|@]|9|@]|C|$]]|$1|O|3|P|5|J|7|1O|8|@]|9|@]|C|$]]|$1|Q|3|R|5|J|7|1P|8|@]|9|@]|C|$]]|$1|S|3|T|5|J|7|1Q|8|@]|9|@]|C|$]]|$1|U|3|V|5|J|7|1R|8|@]|9|@]|C|$]]|$1|W|3|X|5|J|7|1S|8|@]|9|@]|C|$]]|$1|Y|3|-4|5|6|7|1T|8|@]|9|@]|C|$]]|$1|Z|3|-4|5|6|7|1U|8|@]|9|@]|C|$]]|$1|10|3|11|5|6|7|1V|8|@]|9|@]|C|$]]|$1|12|3|-4|5|6|7|1W|8|@]|9|@]|C|$]]]|13|$14|$5|15|16|17|C|$18|19]]|1A|$5|15|16|17|C|$18|1B]]]]

The <a href="http://www.aforgenet.com/" rel="nofollow">AForge.NET library</a> is pretty good and is written in C#, with the source available <a href="http://code.google.com/p/aforge/" rel="nofollow">here</a>.

Supported features are:

<ul>
<li>AForge.Imaging - library with image processing routines and filters;</li>
<li>AForge.Vision - computer vision library;</li>
<li>AForge.Neuro - neural networks computation library;</li>
<li>AForge.Genetic - evolution programming library;</li>
<li>AForge.Fuzzy - fuzzy computations library;</li>
<li>AForge.MachineLearning - machine learning library;</li>
<li>AForge.Robotics - library providing support of some robotics kits;</li>
<li>AForge.Video - set of libraries for video processing etc.</li>
</ul>

The algorithms are maybe not as cutting edge/academic as some of the other answers but a lot of the engineering problems taken care of (getting video into your application, etc).

I am really intrigued by the field of computer vision and the potential it has. Are there any examples (preferably implemented in .NET) which I can study along with a reference book?

Learning about Computer Vision

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我真的对计算机视觉领域和它的潜力很感兴趣。有没有什么例子(最好是用.NET实现的)可以和参考书一起学习？

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