是否有可能从扫描或照片中识别出简单的童趣绘画的主题？
我正在开展一项儿童心理学研究，需要分析数千张儿童绘画，我想在可能的情况下通过边缘追踪等实现自动化，以猜测图片的内容，将其与物体库进行比较......太阳，房子、树、狗等。 是否可以？
I am developing a study for child psychology and would need to analyse thousands of childrens drawings, I would like to automate where possible through edge tracing etc. to guess the content of the picture comparing it to a library of objects... sun, house, tree, dog, etc.
is it possible?
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模式识别是计算机最困难的事情之一。如果您询问是否有现成的解决方案，那么答案可能是没有。
这并不是说它不能完成，但它代表了一个重要的研究项目，而全面的解决方案可能会极大地推动模式识别领域的发展。
Pattern recognition is one of the most difficult things to do with computers. If you are asking if there is a ready made solution for this, then the answer is likely no.
That's not to say it can't be done, but it would represent a significant research project and a comprehensive solution would likely advance the field of pattern recognition greatly.
我个人认为这个问题最好通过众包来解决。您以适当的分辨率扫描图像，并邀请公众选择关键字或输入他们对主题的最佳猜测。最常选择的科目可能是正确的，然后您可以进行频率研究或您需要的任何其他研究。虽然没有直接回答您有关基于计算机的绘图识别的问题，但这将是您完成工作的一种方法。
Personally I think this would be best solved by crowdsourcing it. You scan the images at an appropriate resolution and invite the public to choose keywords or enter their best guess at the subject. The most often chosen subjects will probably be correct and you can then conduct frequency studies or whatever other studies you need. While not directly answering your question about computer-based recognition of the drawings, this would be one way you can get the job done.
Amazon Mechanical Turk 可以让您以低廉的价格轻松完成此操作。 Mechanical Turk 可以让你将任务“外包”给人们，并为他们所做的工作支付少量费用。您支付的费用取决于您想要花多少钱以及工作的难度。
以下是维基百科页面，详细描述了 Mechanical Turk 的工作原理：http://en.wikipedia.org/ wiki/Amazon_Mechanical_Turk
这是 Amazon Mechanical Turk 网页：https://www.mturk。 com/mturk/欢迎
Amazon Mechanical Turk would let you do this easily for a small price. Mechanical Turk lets you "farm out" tasks to people and pay them small fees for the work they do. The fee you pay is based on how much you want to spend and how difficult the work is.
Here is the Wikipedia page that describes more about how mechanical turk works: http://en.wikipedia.org/wiki/Amazon_Mechanical_Turk
Here is the Amazon Mechanical Turk web page: https://www.mturk.com/mturk/welcome