blocks|key|375369|text|你试过openCV吗？这里是人脸检测的例子，你的问题有点相似。也许它会有帮助|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|375370|entityMap|0|LINK|mutability|MUTABLE|url|http://opencv-java-tutorials.readthedocs.io/en/latest/06-face-detection-and-tracking.html^0|B|2|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]]]]

Have you try openCV. 
<a href="http://opencv-java-tutorials.readthedocs.io/en/latest/06-face-detection-and-tracking.html" rel="nofollow noreferrer">Here</a> is the face detection exemple your problem is a bit similar. 
May be it will help

blocks|key|2375663|text|在Java中这样做的方法是使用具有Java原生接口的OpenCV库。为了学习如何将OpenCV和Java结合起来，请参考下面的链接：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2375664|http://opencv-java-tutorials.readthedocs.io/en/latest/|offset|length|2375665|当然，知道如何使用Java和OpenCV并不足以解决您的需求。因此，您也应该学习有关图像处理的主题。参见这一令人振奋的演讲：|2375666|https://pt.slideshare.net/luigidr/introduction-to-open-cv-28728435|2375667|请注意，你必须准备好学习很多东西，如图像分割，颜色空间，结构分析等。玩得开心点！|2375668|entityMap|0|LINK|mutability|MUTABLE|url|1^0|0|0|1I|0|0|0|0|1U|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]]]]

The way to do it in Java is use the OpenCV library which has a Java native interface. Please refer to the link below in order to learn how to use OpenCV and Java together:

<a href="http://opencv-java-tutorials.readthedocs.io/en/latest/" rel="nofollow noreferrer">http://opencv-java-tutorials.readthedocs.io/en/latest/</a>

Of course know how to use Java and OpenCV is not enough to solve your needs. So, you should to learn about image processing topics as well. See this motivating presentation:

<a href="https://pt.slideshare.net/luigidr/introduction-to-open-cv-28728435" rel="nofollow noreferrer">https://pt.slideshare.net/luigidr/introduction-to-open-cv-28728435</a>

Be aware that you must be ready to learn lots of things as image segmentation, color spaces, structural analysis and so on. Have a fun!

blocks|key|375400|text|要查看图像中有一个对象，您需要确定该对象的边缘在哪里。如果你看一下图像，你会发现背景的颜色和每个物体边缘的颜色有很大的不同。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|375401|您可以让您的程序在颜色数据中读取，就像您所做的那样，每当程序注意到颜色发生了足够大的变化时，程序就会突出显示这一点。这将通过对颜色数据应用sobel滤波器来完成。|375402|这样做应该突出显示对象的边缘。从这里开始，您可以尝试分析封闭区域的大小或这些边缘的特征，以确定突出显示的对象。|375403|这里是一个链接，被问及如何应用有一些好答案的sobel过滤器。|offset|length|375404|虽然像OpenCV这样的库确实有sobel滤波和图像检测，但是自己实现sobel过滤器并不需要太多的代码。我相信这也是一个更简单的解决办法。安装和学习OpenCV可能需要更多的时间，而不仅仅是应用您自己的sobel过滤器。|375405|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/17815687/image-processing-implementing-sobel-filter^0|0|0|0|0|2|0|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|V|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|W|8|@]|9|@$H|X|I|Y|1|Z]]|A|$]]|$1|J|3|K|5|6|7|10|8|@]|9|@]|A|$]]|$1|L|3|-4|5|6|7|11|8|@]|9|@]|A|$]]]|M|$N|$5|O|P|Q|A|$R|S]]]]

To see that there is an object in the image, you will want to determine where the edge of that object is. If you look at the image, you'll notice that there is a big difference in the color of the background compared to the color of the edge of each object. 

You can have your program read in the color data, as you have done, and whenever it notices that the color has changed by a significant enough amount, the program will highlight this point. This would be done by applying a sobel filter to the color data.

Doing this should highlight the edges of the object. From here, you can try to analyze the size of the area enclosed or the features of these edges to determine the object that is highlighted. 

<a href="https://stackoverflow.com/questions/17815687/image-processing-implementing-sobel-filter">Here</a> is a link to a question asked about applying a sobel filter that has some good answers.

While libraries such as OpenCV do have sobel filtering and image detection, it does not take too much code to implement the sobel filter yourself. I believe it would be a more simple solution as well. Installing and learning OpenCV will likely take more time than just applying your own sobel filter.

I need to classify bolt, nut, and washer from the image,

but I don't know how to detect those objects from the image.

<a href="https://i.stack.imgur.com/lBbhI.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/lBbhI.png" alt="enter image description here"></a>

(This is the part of the image)

I copied every color (used java.awt.Color) value from the image to 2D array,

but I have no idea what I have to do with this. 

If I want to classify them, program have to recognize which part is not a background at least.

Does java has library for this?

Java Recognize specific objects in image

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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我需要把螺栓，螺母和垫圈从图像中分类，但我不知道如何从图像中检测出这些物体。​​(这是图像的一部分)我将每个颜色(使用java.awt.Color)值从图像复制到2D数组，但我不知道我和这事有什么关系。如果我想对它们进行分类，程序至少必须识别出哪一部分不是背景。java有这个库吗？

问Java识别图像中的特定对象
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