Blob detection with python opencv

Question

Anyone knows a way do detect blobs with python cv opencv lib? Initally I don't want use external lib as cvBlobs.

I'm working on a license plate recognition and have some images processed like that enter image description here

and want separate the blobs to catch the plate.

I've yet made it using AForge in C#:

BlobCounterBase bc = new BlobCounter();
bc.FilterBlobs = true;
bc.MinHeight = 5;
bc.MinWidth = 5;

bc.ProcessImage(bitmap);
Blob[] blobs = bc.GetObjectsInformation();
for (int i = 0, n = blobs.Length; i < n; i++)
{
    if (blobs.Length > 0)
    {              
        bc.ExtractBlobsImage(bitmap, blobs[i], true);
        Bitmap copy = blobs[i].Image.ToManagedImage();
        Console.WriteLine(blobs[i].Rectangle.Size.ToString());
        copy.Save("C:/Users/Marcilio/Desktop/segmentacao/" + i + ".jpg");
    }
}
bitmap.Save("C:/Users/Marcilio/Desktop/foto2.jpg");

And now I need the equivalent to python's opencv.

hi i am also tried to recognize number plate . so i need help to detect licence plate so can u help for me my mail id="[email protected]" — Nandha Kumar
– Nandha Kumar, Commented Sep 26, 2014 at 9:08

qwertyboy · Accepted Answer · 2013-08-09 22:53:37Z

7

OpenCV has the findContours function which returns a list of contours and their hierarchy.

Once you have the contours, you can get their moments (e.g. to calculate the centroid), their areas, their convexity and everything else you need.

So your code would look something like this (untested):

contours, _ = cv2.findContours(image, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
for c in contours:
    rect = cv2.boundingRect(c)
    if rect[2] < 5 or rect[3] < 5: continue
    print cv2.contourArea(c)

answered Aug 9, 2013 at 22:53

qwertyboy

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