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Thread: How to find the black hole in an image?

  1. #1
    Pixel
    Guest

    How to find the black hole in an image?

    Hi

    i have some image where i need to find out the black holes, the prob is we could able to see some light difference in all the images so we cant able to set the threshold value ...

    i tried histogram equalization n normalization, but for some images it is working, not for all images - How can i process further ?

    For Ex :
    1st Image
    Image Background value - 40 45 2 RGB
    Black hole value - 18 17 0 RGB

    2nd Image
    Image Background value - 20 16 2 RGB
    Black hole value - 14 15 0 RGB
    ---------------------------------
    based on 1st image if i set as below 20 as my threshold value, it working for these kind of similarly images but it goes wrong when we running 2nd image ..

    Any help would be helpful ,

    Thanks
    Pixel

  2. #2
    tranthienvn
    Guest

    Re: How to find the black hole in an image?

    I'm not familiar with this problem! but i read somewhere about it.
    First you should your Artificial Neural Network for Pattern Recognition. ( Simple method Canny, sobel,Otsu,.. failed).
    And then you can use Morphological Method.
    Anyway, you should show out which kind of your image ( aerial, medical,...). There is no method appropriated for every kind of image.
    Good luck!

  3. #3
    Pixel
    Guest

    Re: How to find the black hole in an image?

    thanks for your response, its a medical image

    http://profile.imageshack.us/user/pixel_india/

    You can take a look at my image and suggest some idea i



    Quote Originally Posted by tranthienvn View Post
    I'm not familiar with this problem! but i read somewhere about it.
    First you should your Artificial Neural Network for Pattern Recognition. ( Simple method Canny, sobel,Otsu,.. failed).
    And then you can use Morphological Method.
    Anyway, you should show out which kind of your image ( aerial, medical,...). There is no method appropriated for every kind of image.
    Good luck!

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