blobs

@robot_sherrick answered me this question , this is a follow-up question for his answer. cv::SimpleBlobDetector in Opencv 2.4 looks very exciting but I am not sure I can make it work for more detailed data extraction. I have the following concerns: if this only returns center of the blob, I can't have an entire, labelled Mat, can I? how can I access the features of the detected blobs like area, convexity, color and so on? can I display an exact segmentation with this? (like with say, waterfall) thealmightygrant So the code should look something like this: cv::Mat inputImg = imread(image_file

I would like to use some blob detection in my application which is written in Java and thus using JavaCV instead of OpenCV . I found many classes like: SimpleBlobDetector , CvBlobDetector , CvBlob , ... but I can't find any tutorial or demo/example code to use these in Java. Could anyone please tell me how to use these as I can't figure it out and there's no good documentation for them. Thanks! happyburnout I am just in this moment working on the same problem and have a first solution. There's a lot of approaches out there but unfortunately most of them are ugly and slow. My main goal to this

If I have a class declared as: public class MyPersistentClass { public int ID { get; set; } public Stream MyData {get;set; } } How can I use NHibernate's mappings to persist the MyData property to and from the database? Sebastian Markbåge You could use a Stream using a custom type and map it according to your storage needs. But there are some issues with using the Stream object as I mention in my blog series about lazy streaming of BLOBs and CLOBs with NHibernate . What you really need is a Blob object that in turn can create a Stream to read data from. Since Stream contains information about

I am having problems detecting circle areas. I tried it with the HoughCircles function from opencv. However even though the images are pretty similar the parameters for the funtion have to be different in order to detect the cirles. Another approach I tried was to iterate over every pixel and check if the current pixel is white. If this is the case then check if there is a blob object in the area (distance to blob center smaller than a threshold). If there is, append the pixel to the blob, if not then create a new blob. This also didn't work properly. Has anyone a idea how I can make this work

Tried using the ListBlobsSegmentedAsync method , but this returns only the blobs from the main parent directory level .. But I need the entire list of blobs at one go from all the n levels of subdirectories. BlobContinuationToken continuationToken = null; bool useFlatBlobListing = true; BlobListingDetails blobListingDetails = BlobListingDetails.None; int maxBlobsPerRequest = 500; var blobOptions = new BlobRequestOptions (true ); do { var listingResult = await cbDir.ListBlobsSegmentedAsync(useFlatBlobListing, blobListingDetails, maxBlobsPerRequest, continuationToken, null, null);