如何在matlab中提取感兴趣区域内的对象(how to extract the objects inside the region of interest in matlab)

如何在matlab中提取感兴趣区域内的对象(how to extract the objects inside the region of interest in matlab)

我有兴趣提取区域内的对象。

例如，

图1显示了我的激光轮廓的强度分布。 根据激光强度，我将轮廓划分为2个感兴趣区域（ROI1和ROI2）。

图2显示了我的正响应的exp结果与激光强度分布的重叠。 正响应数据文件由x和y坐标组成。 如您所见，结果散布在激光轮廓图像上。

这就是我想要做的，我想提取ROI2中的斑点并丢弃所有其余部分，如图3所示。 我该怎么做？ 具体来说，如何在matlab中定义不规则形状ROI2并提取正响应数据的坐标。 谢谢您的帮助。

I am interested in extracting the objects inside the region.

For example,

Fig1 showed the intensity profile of my laser profile. According to the laser intensity, I divide the profile into 2 region of interest (ROI1 and ROI2).

Fig2 showed the overlap of my exp result of positive responses and the laser intensity profile. The positive response data file is composed of x and y coordinates. As you can see the results are scattered over the laser profile image.

Here is what I want to do, I want to extract the spots within the ROI2 and discard all the rest as shown in Fig3. How can I do it? Specifically, how can I define a irregular shape ROI2 in matlab and extract the coordinates of positive response data. Thanks for the help.

最满意答案

正如eykanal所说，你可以使用impoly函数在你的图像中创建你想要的任何ROI。 提取coordiantes的一般解决方案是创建所需的ROI，并使用find提取坐标和一些设置操作以删除不需要的点。 喜欢这个：

imshow(image) h = impoly() ; %# draw ROI1 ROI1 = createMask(h); %# create binary mask of ROI1 h2 = impoly(); %# draw dummy_ROI consisting of ROI1+ROI2 dummy_ROI = createMask(h2); %# create binary mask ROI2 = dummy_ROI-ROI1; %# create ROI2 p = find(ROI2); %# find all coordinates of ROI2 points = intersect(ind,p); %# find all points with linear index ind that are %# part of ROI2

As eykanal says, you can use the impoly function to create any sort of ROI you want in your image. A general solution for extracting coordiantes is to create the ROI you want, and the use find to extract the coordinates and some set operation to remove unwanted points. Like this:

imshow(image) h = impoly() ; %# draw ROI1 ROI1 = createMask(h); %# create binary mask of ROI1 h2 = impoly(); %# draw dummy_ROI consisting of ROI1+ROI2 dummy_ROI = createMask(h2); %# create binary mask ROI2 = dummy_ROI-ROI1; %# create ROI2 p = find(ROI2); %# find all coordinates of ROI2 points = intersect(ind,p); %# find all points with linear index ind that are %# part of ROI2