如何使用SimpleBlobDetector获取blob的额外信息？

问题描述

@robot_sherrick回答我，这是他回答的后续问题。

@robot_sherrick answered me this question, this is a follow-up question for his answer.

cv :: SimpleBlobDetector 看起来非常令人兴奋，但我不确定是否可以使其更详细的数据提取。

cv::SimpleBlobDetector in Opencv 2.4 looks very exciting but I am not sure I can make it work for more detailed data extraction.

我有以下问题：

• blob，我不能有一个完整的，标记的垫，我可以吗？


• 如何访问检测到的斑点的特征，如面积，凸面，颜色等？


• ？ （像是说瀑布）

推荐答案

所以代码应该看起来像这样： / p>

So the code should look something like this:

cv::Mat inputImg = imread(image_file_name, CV_LOAD_IMAGE_COLOR);   // Read a file
cv::SimpleBlobDetector::Params params;
params.minDistBetweenBlobs = 10.0;  // minimum 10 pixels between blobs
params.filterByArea = true;         // filter my blobs by area of blob
params.minArea = 20.0;              // min 20 pixels squared
params.maxArea = 500.0;             // max 500 pixels squared
SimpleBlobDetector myBlobDetector(params);
std::vector<cv::KeyPoint> myBlobs;
myBlobDetector.detect(inputImg, myBlobs);

如果您想让这些关键点突出显示在您的图片上：

If you then want to have these keypoints highlighted on your image:

cv::Mat blobImg;
cv::drawKeypoints(inputImg, myBlobs, blobImg);
cv::imshow("Blobs", blobImg);

要访问关键点中的信息，您只需访问每个元素：

To access the info in the keypoints, you then just access each element like so:

for(std::vector<cv::KeyPoint>::iterator blobIterator = myBlobs.begin(); blobIterator != myBlobs.end(); blobIterator++){
   std::cout << "size of blob is: " << blobIterator->size << std::endl;
   std::cout << "point is at: " << blobIterator->pt.x << " " << blobIterator->pt.y << std::endl;
}

注意：这个没有编译，可能有错别字。

Note: this has not been compiled and may have typos.

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