CODEWITHSUNDEEP
cimage-processingopencv
user1606191
user1606191

Reputation: 551

Detecting Largest Blob in a binary image

I want to detect the largest BLOB in a binary image for my project. can you please guide me on how can I do this?

Thanks

Upvotes: 1

Views: 1790

Answers (3)

iiro
iiro

Reputation: 3118

I don't know what is the best practice here, but I'd do it somehow like this:

  • First find all blobs. You could use cvBlobslib or cvBlob or findContours etc.

  • Then store all blobs in vector. Sort your vector by blobs' area. And then get the last blob.

    bool sortBlobsASC(CBlob first, CBlob second) { return first.Area() < second.Area(); }

    std::sort(myvec.begin(), myvec.end(), sortBlobsASC);

Upvotes: 0

jlengrand
jlengrand

Reputation: 12827

A good point of start would be the CVBloblib . I used it in the past and it works fine.

Then it is just a question of calculating the blobs area or perimeter, depending on what you want :)

Upvotes: 2

ArtemStorozhuk
ArtemStorozhuk

Reputation: 8725

Use findContours to find all blobs in image and using contourArea you can calculate blob's area. So just find contour (blob) with biggest area.

Upvotes: 5

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