blocks|key|2207630|text|Hough变换可能对你识别曲线有所帮助。如果你只需要数数的话，它应该能正常工作。它可以被推广到检测任何可以用参数描述的几何形状，或者用模板匹配来检测任何形状。然而，这可以是昂贵。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2207631|对于锐角，您可以使用@Diego在上面的注释中提到的Harris角点检测。|2207632|当然，也可以查看杰普劳雷勒布，它有助于从图像中提取特性(尽管如果您只想计数/检测它们，这对您的目的来说可能有点繁重)。|2207633|下面是一些可能对您的实现有所帮助的实现：|2207634|java中的Hough变换|unordered-list-item|2207635|javascript中的Hough变换|2207636|java中的Harris角点检测|2207637|javascript中Harris角点的检测|2207638|您可能还想通过NIH查看ImageJ，有相当多的Java插件可能对您有帮助。它被许多生物学家使用(就像我一样！)以检测图像特征，并有数百个插件，几乎任何可能的目的。|2207639|那里+是+也是+许多+有帮助+问题+在……上面+所以.|2207640|entityMap|0|LINK|mutability|MUTABLE|url|http://en.wikipedia.org/wiki/Hough_transform|1|http://en.wikipedia.org/wiki/Generalised_Hough_transform|2|http://en.wikipedia.org/wiki/Corner_detection#The_Harris_.26_Stephens_.2F_Plessey_.2F_Shi.E2.80.93Tomasi_corner_detection_algorithm|3|https://code.google.com/p/jfeaturelib/|4|http://rosettacode.org/wiki/Hough_transform#Java|5|https://github.com/gmarty/hough-transform-js|6|https://teddybear.googlecode.com/svn/trunk/PFE/src/unseen/labs/face/harris/|7|https://github.com/wellflat/javascript-labs/tree/master/cv/corner_detection|8|http://imagej.nih.gov/ij/|9|https://stackoverflow.com/questions/11461910/line-detection-angle-detection-with-java|10|https://stackoverflow.com/questions/7051918/how-to-detect-curves-in-a-binary-image|11|https://stackoverflow.com/questions/tagged/feature-detection|12|https://stackoverflow.com/questions/19618171/detect-four-corners-of-an-image-using-cornerharris-in-java-with-opencv|13|https://stackoverflow.com/questions/4709725/explain-hough-transformation|14|https://stackoverflow.com/questions/23396518/hough-transform-javascript-node-js|15|https://stackoverflow.com/questions/9592818/how-to-implement-the-hough-transform|16|https://stackoverflow.com/questions/tagged/hough-transform%2Bjava^0|0|7|0|2E|2|1|0|Q|A|2|0|8|6|3|0|0|0|D|4|0|0|J|5|0|0|G|6|0|0|M|7|0|C|6|8|0|0|2|9|3|1|A|5|2|B|8|2|C|B|3|D|F|2|E|I|5|F|O|2|G|0^^$0|@$1|2|3|4|5|6|7|20|8|@]|9|@$A|21|B|22|1|23]|$A|24|B|25|1|26]]|C|$]]|$1|D|3|E|5|6|7|27|8|@]|9|@$A|28|B|29|1|2A]]|C|$]]|$1|F|3|G|5|6|7|2B|8|@]|9|@$A|2C|B|2D|1|2E]]|C|$]]|$1|H|3|I|5|6|7|2F|8|@]|9|@]|C|$]]|$1|J|3|K|5|L|7|2G|8|@]|9|@$A|2H|B|2I|1|2J]]|C|$]]|$1|M|3|N|5|L|7|2K|8|@]|9|@$A|2L|B|2M|1|2N]]|C|$]]|$1|O|3|P|5|L|7|2O|8|@]|9|@$A|2P|B|2Q|1|2R]]|C|$]]|$1|Q|3|R|5|L|7|2S|8|@]|9|@$A|2T|B|2U|1|2V]]|C|$]]|$1|S|3|T|5|6|7|2W|8|@]|9|@$A|2X|B|2Y|1|2Z]]|C|$]]|$1|U|3|V|5|6|7|30|8|@]|9|@$A|31|B|32|1|33]|$A|34|B|35|1|36]|$A|37|B|38|1|39]|$A|3A|B|3B|1|3C]|$A|3D|B|3E|1|3F]|$A|3G|B|3H|1|3I]|$A|3J|B|3K|1|3L]|$A|3M|B|3N|1|3O]]|C|$]]|$1|W|3|-4|5|6|7|3P|8|@]|9|@]|C|$]]]|X|$Y|$5|Z|10|11|C|$12|13]]|14|$5|Z|10|11|C|$12|15]]|16|$5|Z|10|11|C|$12|17]]|18|$5|Z|10|11|C|$12|19]]|1A|$5|Z|10|11|C|$12|1B]]|1C|$5|Z|10|11|C|$12|1D]]|1E|$5|Z|10|11|C|$12|1F]]|1G|$5|Z|10|11|C|$12|1H]]|1I|$5|Z|10|11|C|$12|1J]]|1K|$5|Z|10|11|C|$12|1L]]|1M|$5|Z|10|11|C|$12|1N]]|1O|$5|Z|10|11|C|$12|1P]]|1Q|$5|Z|10|11|C|$12|1R]]|1S|$5|Z|10|11|C|$12|1T]]|1U|$5|Z|10|11|C|$12|1V]]|1W|$5|Z|10|11|C|$12|1X]]|1Y|$5|Z|10|11|C|$12|1Z]]]]

The <a href="http://en.wikipedia.org/wiki/Hough_transform" rel="nofollow noreferrer">Hough transform</a> may be helpful to you in identifying curves. If you only need to count, it should work just fine. It can be generalized to detect any geometric shape that can be described using parameters, or any shape whatsoever using template matching. However, that can be <a href="http://en.wikipedia.org/wiki/Generalised_Hough_transform" rel="nofollow noreferrer">expensive</a>.

For sharp corners, you can use <a href="http://en.wikipedia.org/wiki/Corner_detection#The_Harris_.26_Stephens_.2F_Plessey_.2F_Shi.E2.80.93Tomasi_corner_detection_algorithm" rel="nofollow noreferrer">Harris corner detection</a> as mentioned by @Diego in the above comment.

Definitely also check out <a href="https://code.google.com/p/jfeaturelib/" rel="nofollow noreferrer">jfeaturelib</a>, it's helpful in extracting features from images (although if you just want to count/detect them it might be a little heavy-duty for your purposes).

Below are some implementations that may help you on your way:

<ul>
<li><a href="http://rosettacode.org/wiki/Hough_transform#Java" rel="nofollow noreferrer">Hough transform in java</a></li>
<li><a href="https://github.com/gmarty/hough-transform-js" rel="nofollow noreferrer">Hough transform in javascript</a></li>
<li><a href="https://teddybear.googlecode.com/svn/trunk/PFE/src/unseen/labs/face/harris/" rel="nofollow noreferrer">Harris corner detection in java</a></li>
<li><a href="https://github.com/wellflat/javascript-labs/tree/master/cv/corner_detection" rel="nofollow noreferrer">Harris corner detection in javascript</a></li>
</ul>

You also might want to check out <a href="http://imagej.nih.gov/ij/" rel="nofollow noreferrer">ImageJ</a> by the NIH, there are quite a few Java plugins that may be helpful to you. It's used by many biologists (like me!) to detect image features and has hundreds of plugins for almost any conceivable purpose.

<a href="https://stackoverflow.com/questions/11461910/line-detection-angle-detection-with-java">There</a> <a href="https://stackoverflow.com/questions/7051918/how-to-detect-curves-in-a-binary-image">are</a> <a href="https://stackoverflow.com/questions/tagged/feature-detection">also</a> <a href="https://stackoverflow.com/questions/19618171/detect-four-corners-of-an-image-using-cornerharris-in-java-with-opencv">many</a> <a href="https://stackoverflow.com/questions/4709725/explain-hough-transformation">helpful</a> <a href="https://stackoverflow.com/questions/23396518/hough-transform-javascript-node-js">questions</a> <a href="https://stackoverflow.com/questions/9592818/how-to-implement-the-hough-transform">on</a> <a href="https://stackoverflow.com/questions/tagged/hough-transform+java">SO</a>.

I've an image with a bunch of simple grayscale primitive geometry (curves, 'saw'-lines, ellipses, triangles, stars) drawn by lines of width about 8-10 pixels.

How to perform statistical analysis of the image? I need at least following two parameters:

<ol>
<li>Number of sharp angles</li>
<li>Number of curves.</li>
</ol>

I've tried doing it myself by extracting contours, shrinking till they have edges connected (i.e. become curves) and analysing them by differential functions, but it takes too much time for big images.

A suppose there is some kind of algorithm of curve/angle/angle sharpness detection?

What i need is either an open-source framework (java/javascript prefferably) to do such stuff or at least name of algorithm to detect curves/'saw' lines.

Detect simple curves and lines in the grayscale 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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我有一组简单的灰度原始几何(曲线，“锯”-线，椭圆，三角形，恒星)的图像，由宽度约8-10像素的线绘制。如何对图像进行统计分析？我至少需要以下两个参数：锐角数曲线数。我自己也试过这样做:提取轮廓线，缩小到它们有连接的边(即变成曲线)，然后用微分函数来分析它们，但是对于大的图像来说，这需要花费太多的时间。假设有一种曲线/角度/角度锐度检测算法？我需要的要么是一个开源框架(java/javascrip

检测灰度图像中的简单曲线和线条-腾讯云开发者社区-腾讯云

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