08c Machine Learning for Pixel and Object Classification in ilastik

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  • Опубліковано 20 січ 2025

КОМЕНТАРІ • 11

  • @umedt.boltaev4423
    @umedt.boltaev4423 4 роки тому +1

    Thank you for these videos. Timing could not be more perfect for me.

  • @joelcode
    @joelcode 4 роки тому +2

    Hello Robert, I would like to ask some questions, my thesis is related to this, will you have an email where I can ask you?

    • @haesleinhuepf
      @haesleinhuepf  4 роки тому +1

      Would you mind asking on image.sc ? There are maaany image analysis experts who are happy to take your questions 😉

    • @joelcode
      @joelcode 4 роки тому

      @@haesleinhuepf thx Robert 💪

  • @itpan8903
    @itpan8903 4 роки тому +2

    what does mean 'sigma', sigma is meaning for pixel?

    • @haesleinhuepf
      @haesleinhuepf  4 роки тому

      Sigma is related to the size if the objects you're looking for. Read more: www.ilastik.org/documentation/pixelclassification/pixelclassification#selecting-good-features

    • @itpan8903
      @itpan8903 4 роки тому

      @@haesleinhuepfthanks, by the way, it is the same meaning as Weka segmentation as you showed in other videos

    • @haesleinhuepf
      @haesleinhuepf  4 роки тому

      @@itpan8903 Not sure if the physical units are the same, but the underlying concepts are. Feel free to ask the developers of Weka Trainable Segmentation and ilastik on image.sc

    • @itpan8903
      @itpan8903 4 роки тому

      @@haesleinhuepf thank you so much, I used this forum for image processing questions, Hahahaha

  • @itpan8903
    @itpan8903 4 роки тому

    hi, excellent explanation, however I don't understand why the result of image classification or object classification is segmentation image

  • @waituntil
    @waituntil 4 роки тому

    Does anybody know how "Ilastik" is supposed to be pronounced?