28 - Thresholding and morphological operations using openCV in Python

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  • Опубликовано: 26 ноя 2024

Комментарии • 29

  • @saveshgharat4218
    @saveshgharat4218 3 года назад +1

    Underrated channel.... Awseome lectures sir

  • @mahrouch
    @mahrouch 5 лет назад +2

    Thank you very much for all the work you are doing, your videos are just amazing. I hope you continue to illuminate our lantern with such instructive videos. Best wishes...

  • @joeyg4008
    @joeyg4008 4 года назад

    Love your videos sir! You are always consistent in the way you explain language which facilitates learning. Thank you!

  • @levfurtado32
    @levfurtado32 3 года назад

    found this very helpful, thank you for explaining the principles beforehand.

  • @imaginewang
    @imaginewang 4 года назад

    Really appreciate the tutorial. Thank you, Sreeni.

  • @deadlypoison2779
    @deadlypoison2779 2 года назад

    Your video help me a lot. Thanks for sharing such great content.

  • @ariouathanane
    @ariouathanane Год назад

    Hello. Thank you a lot for your work.
    Please I have à question why the file size are not the same as the original image after morphological operation ?

  • @lachesis6119
    @lachesis6119 2 года назад +1

    Thank you very much for your thorough step-by-step tutorials!
    I've been scouring through them hoping to adapt smth to my problem: I have scratches on my metallographic microscopic images. Is there a way to process the images so they don't pick on the scratches? My main concern is that the scratches would get accounted for while calculating porosity!

    • @DigitalSreeni
      @DigitalSreeni  2 года назад +1

      One way to account for them is to filter them out after segmentation, during analysis. Scratches will have higher aspect ratios compared to pores.

  • @maad9482
    @maad9482 3 года назад

    Subscribed to your channel now. Great tutorials and great work!

  • @maad9482
    @maad9482 3 года назад

    It seems that your Eroded + Dilated image looks better than the Thresholded Image after the medianBlur filter . I can observe some white pixels in the black segment. How could you have improved it?

  • @vivek-159-icd
    @vivek-159-icd 2 года назад

    How could we use the morphological operation on a dataset of 100 images?

  • @avinashgokli1197
    @avinashgokli1197 2 года назад

    Thanks - I am new to medical image segmentation and u-net convolution network. As part of preprocessing, are there any benefits to apply techniques as denoising, thresholding and morphological operations? I am assuming that network will learn faster and metrics (e.g. accuracy, etc) will be better. Will appreciate for your feedback.

  • @ANANDKUMAR-su9kk
    @ANANDKUMAR-su9kk 2 года назад

    dear sir please make a video for how to measure fetal head perimeter using ultrasound image

  • @ismailidowu3167
    @ismailidowu3167 3 года назад

    Good and beautiful analysis Sir. Please, can you do tutorial on connected component analysis/ label (CCL)in details?

  • @jabedahammed7932
    @jabedahammed7932 4 года назад

    Thank you sir, for this great tutorial

  • @ozansatar1011
    @ozansatar1011 2 года назад

    Should not we divide the kernel by 9

  • @sushilkotwal8915
    @sushilkotwal8915 4 года назад

    Is this only for greyscale image ?

  • @mackmack8213
    @mackmack8213 3 года назад +1

    yeah, must subscribe master!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

  • @riyazbagban9190
    @riyazbagban9190 2 года назад

    what are real time projects will suggest me like i am at 28 video and i want to do real project, if you have any please give and doing this series will help me to get job sir???

  • @b.kannan2668
    @b.kannan2668 3 года назад

    Really Suber sir

  • @김태호-m3d6l
    @김태호-m3d6l 3 года назад

    thank you

  • @judemajasan4322
    @judemajasan4322 Год назад

    Thanks!

    • @DigitalSreeni
      @DigitalSreeni  Год назад +1

      Thank you very much for your kindness.

  • @siddarthchhetri8481
    @siddarthchhetri8481 4 года назад

    excellent. video