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scikit图像分割和粒度分析

[英]Segmentation and Granulometry with scikit-image

I am very interested in python image analysis and especially in Scikit-image. 我对python图像分析特别是Scikit图像非常感兴趣。

As a newbie would it be possible to get an explanation how to convert the Matlab codes below to python+scikit-image. 作为一个新手,有可能得到一个解释如何将下面的Matlab代码转换为python + scikit-image。

Detecting a Cell Using Image Segmentation 使用图像分割检测细胞

http://www.mathworks.com/help/images/examples/detecting-a-cell-using-image-segmentation.html http://www.mathworks.com/help/images/examples/detecting-a-cell-using-image-segmentation.html

Granulometry of Snowflakes 雪花的粒度分析

http://www.mathworks.com/products/image/examples.html?file=/products/demos/shipping/images/ipexsnow.html http://www.mathworks.com/products/image/examples.html?file=/products/demos/shipping/images/ipexsnow.html

Thanks a lot 非常感谢

I would suggest using Java with Fiji or ImageJ instead. 我建议将Java与Fiji或ImageJ结合使用。 there are plenty of built in tools in Fiji for what you are looking to do. 斐济有很多内置工具可满足您的需求。 It is much easier to build a macro in Fiji out of the built in plugins and tools. 利用内置的插件和工具在斐济构建宏要容易得多。

If you need tool for sophisticated cell image analysis, be familiar with Cellprofiler. 如果您需要用于复杂细胞图像分析的工具,请熟悉Cellprofiler。 It can segment images and calculate their object features as you has showed. 它可以分割图像并计算其对象特征,如您所示。

Scikit-image has relevant code samples in gallery: watershed segmentation and labeling . Scikit-image在图库中有相关的代码示例: 分水岭分割标签

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