问题描述
我在我的领域面临挑战，我需要一些建议.
I am facing a challange in my field and I would need some advices.
我有一个带有年轮的图像.
I have an image with tree rings.
要查看我要使用的照片，可以在我的保管箱中查看它: https://dl.dropboxusercontent.com/u/65873264/Sample.jpg
To see a photo I want to work with, you can check it from my dropbox: https://dl.dropboxusercontent.com/u/65873264/Sample.jpg
我想编写一个宏/任务...，程序将在其中识别每个环并将其标记为ROI.我正在尝试使用一些插件来完成此任务:模板匹配，功能查找器和可视抓图.但是那些戒指可能会变化很大.
I would like to write a macro/task... in which program will recognize each ring and mark it as ROI. I was trying to make this task using some plugins: Template Matching, Feature Finder and Visual grap. But those rings could be extremely variable.
我需要的是这样的:使用分析粒子"功能程序，可以识别阈值图像上的所有血管(对象).第二步很有趣:对于每个粒子，它检查周围是否存在0.5毫米范围内的粒子.如果是这样，它将创建一个包括两个粒子的ROI，并在0.5 mm范围内搜索下一个粒子...
What I need is something like that: With Analyze particles function program recognize all vessels (objects) on a thresholded image. Second step is fun: for each particle, it check if there is a particle around in a range of 0.5 mm. If it is, it creates an ROI including both particles and searches for next particle in the range of 0.5 mm...
有一个微笑方法[http://imagej.1557.x6.nabble.com/combine-particles-in-ROI-manager-automatically-td3692844.html]但是在这里，宏首先会计算两个连续粒子之间的差异，但是我需要包括所有0.5毫米范围内的粒子.
There is a smillar method [http://imagej.1557.x6.nabble.com/combine-particles-in-ROI-manager-automatically-td3692844.html]But here macro at first calculates differences between two serial particles, but I need to include all particles in range of 0.5 mm.
推荐答案
以下ImageJ宏代码利用了最大值和 Minimum 在ImageJ中执行对样本图像中的粒子进行形态学关闭操作，然后使用颗粒分析器，从其中创建ROI:
The following ImageJ macro code makes use of the Maximum and Minimum filters in ImageJ to perform a morphological closing operation on the particles in your sample image, and it then uses the Particle Analyzer to create ROIs from those:
open("https://dl.dropboxusercontent.com/u/65873264/Sample.jpg");
run("Duplicate...", "title=[Temporary Copy]");
run("8-bit");
setAutoThreshold("Default");
run("Analyze Particles...", "size=100-Infinity show=Masks clear include in_situ");
run("Maximum...", "radius=70");
run("Minimum...", "radius=70");
run("Analyze Particles...", "size=100-Infinity clear add");
selectWindow("Sample.jpg");
roiManager("Show All with labels");
roiManager("Show All");
这篇关于自动识别的对象转移到Imagej的ROI中的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！