大家好,Stackoverflow 用户,
我目前正在撰写我的学士论文,有超过 1,000 张图像需要分析。因此,我想制作一个宏,可以以相同的方式裁剪这些图像,应用相同的颜色阈值并测量高于此阈值的面积百分比;然后将它们添加到一个 csv/excel/text 文件中。Winogradsky柱的示例,其中包含我想要分析的硫还原细菌。我添加了一个示例图像,我想分析该图像中黑色的百分比是多少。
我曾尝试手动裁剪图像,添加正确的颜色滤镜,然后进行粒子分析。但是每次我这样做时,我得到的面积百分比都低得离谱,尝试将其放入宏中(如下所示)也不起作用。我已经添加了我尝试制作的宏,如下所示,您可能已经看到了;我对图像分析还很陌生。
//seting directory
input=getDirectory("Set directory here");
list = getFileList(input);
for (i = 0; i < list.length; i++)
Wholecolor(input, list[i]);
function Wholecolor (input,filename){
open (input + filename);
//open ROI manager
run("ROI Manager...");
roiManager("Show All");
// Assign raw opened image the name "currentImage"
currentImage=getImageID();
// cropping image
makeRectangle(834, 414, 3840, 3468);
run("Crop");
//Duplicate raw image to make a copy that will be modified to make a mask
run("Duplicate...", "title=Mask");
// Highlight the "Mask" image as the duplicate that will be thresholded to make the mask
selectWindow("Mask");
makeRectangle(1026, 492, 3504, 3294);
setBackgroundColor(0, 0, 0);
run("Clear Outside");
run("Color Threshold...");
// Color Thresholder 2.14.0/1.54f
// Autogenerated macro, single images only!
min=newArray(3);
max=newArray(3);
filter=newArray(3);
a=getTitle();
run("HSB Stack");
run("Convert Stack to Images");
selectWindow("Hue");
rename("0");
selectWindow("Saturation");
rename("1");
selectWindow("Brightness");
rename("2");
min[0]=0;
max[0]=255;
filter[0]="pass";
min[1]=0;
max[1]=255;
filter[1]="pass";
min[2]=30;
max[2]=255;
filter[2]="pass";
for (i=0;i<3;i++){
selectWindow(""+i);
setThreshold(min[i], max[i]);
run("Convert to Mask");
if (filter[i]=="stop") run("Invert");
}
imageCalculator("AND create", "0","1");
imageCalculator("AND create", "Result of 0","2");
for (i=0;i<3;i++){
selectWindow(""+i);
close();
}
selectWindow("Result of 0");
close();
selectWindow("Result of Result of 0");
rename(a);
// Colour Thresholding-------------
run("Analyze Particles...", "display exclude clear summarize overlay");
// Get particle analysis results and put them into a file
//clear ROI manager and Mask image so there is a clean workspace for the next image in the folder
roiManager("Deselect");
roiManager("Delete");
close("Mask");
close(filename+"_HSB");
//save data collected by ROI manager to a .csv file titled "WInogradksy_results"
dir=getDirectory("image");
//Change the file name here
name = "Winogradsky_results";
index = lastIndexOf(name, "\\");
if (index!=-1) name = substring(name, 0, index);
name = name + ".csv"; ///can change xls to csv, txt, etc.
saveAs("Measurements", dir+name);
close();
}
run("Clear Results");
我将非常感激任何能帮助我解决这个问题的人,提前谢谢大家!
首先要做的是:定义“黑色”(在您的上下文中)。
下面请查看我将“默认”阈值方案应用到样本图像的“色调”通道后得到的结果。
相应的%Area约为27.22%。
以下 ImageJ-macro 代码可以帮助您入门: