How to do Image Thresholding in ImageJ

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  • Опубліковано 13 гру 2024

КОМЕНТАРІ • 69

  • @somnathchanda1250
    @somnathchanda1250 6 років тому +36

    watch at 2X speed

  • @malihaparvin4224
    @malihaparvin4224 3 роки тому +1

    nice explanation, it's very useful, thank you. one point just added, you don't need to write micrometer in word and copy from there, you can write um in imageJ, um will be taken as micrometer

  • @khushboo4165
    @khushboo4165 7 місяців тому

    What a impressive explanation 👍✨... Thank you so much for the video 😊👍

  • @aldihofmann6086
    @aldihofmann6086 5 років тому

    I am a researcher at University of Maine and this was very helpful to teach me threshold when binary does not work. Thank you very much!!!

  • @neatpete2240
    @neatpete2240 7 років тому +4

    Nice tutorial, helped me a lot to get first results and start to understand the basic concepts. After that it was much easier to try around with other settings. Thanks!

  • @jedihakan
    @jedihakan 5 років тому

    It was a clear explanation. Thanks. The only improvement that you can do is that burning a scale bar onto your image via microscope software and then apply "set scale" using the scale bar on your image. I believe 1024 pixels does not equal to 175 um every time. By the way, you can write "um" rather than using the symbol of micron. ImageJ will accept um as micrometers automatically.

    • @chakraprasadjoshi
      @chakraprasadjoshi  5 років тому

      Dear Jedihakan,
      You are right. Thanks for the useful comment.

  • @dr.hilalaldhamri8850
    @dr.hilalaldhamri8850 8 років тому +1

    Very nice explanation.. I really find it very useful and clear instructions. I used in cement SEM analysis.

  • @mohamedelgamal6333
    @mohamedelgamal6333 5 років тому +1

    Very informative video and to the point. Thank you sir...

  • @afsanesoltani7709
    @afsanesoltani7709 9 місяців тому

    Could you please explain that, why did you write 175 for known distance

  • @astyanaxfromdownunder1225
    @astyanaxfromdownunder1225 4 роки тому

    Good thorough presentation-thank you. Do you have any idea how the incomplete edge-islands can be identified?

  • @PraveenKumar-xq7xb
    @PraveenKumar-xq7xb 4 роки тому

    Wonderful clear explanation. Though it will look a bit slow in the initial. You will feel it comfortable as the video goes forward.

  • @scikat7730
    @scikat7730 7 років тому +2

    Thank you for this video, it definitely helps, but what do you do with the information? do you graph it? and what is the best way?

  • @olgaborozenko1307
    @olgaborozenko1307 7 років тому +1

    Thank you for the video!
    I'm wondering, what version of the ImageJ software do you use? In my version, I don't have the option to overlay outlines in Analyze Particles window...

    • @hamzahkhawaja9423
      @hamzahkhawaja9423 4 роки тому

      Just get Fiji Image j it has al the plugins you,ll ever need

  • @Kirito-yr4uz
    @Kirito-yr4uz Рік тому

    Thanks! This really hepled a lot :)

  • @manlinpan2705
    @manlinpan2705 7 років тому +1

    Thank you very much! Find this is useful for my lab report!

  • @paulabraham6510
    @paulabraham6510 2 роки тому

    Thank you. It was helpful ☺️

  • @maheshbiradar2510
    @maheshbiradar2510 2 роки тому

    Sir will you help me for some image processing, related to trichome (hair like structure on leaf) counting ? I am trying but not getting proper results.

  • @slengoslengaw8510
    @slengoslengaw8510 7 років тому +1

    im new to this software, so can it do multiple images at once?

  • @guyenbattuvshin7475
    @guyenbattuvshin7475 4 роки тому

    Very good, thank you! greetings from Germany!

  • @MF-un3wi
    @MF-un3wi 3 роки тому

    Thank you for the video, I still don't understand one things though, what is the difference between making an image binary and using image thresholding? In my case I want to measure canopy cover, and when I make an image binary, the leaves and branches turn black and background white. Does thresholding bring more accuracy?

    • @chakraprasadjoshi
      @chakraprasadjoshi  3 роки тому

      Dear M F,
      Binary image pixels have only two possibilities black or white. This makes life easier during image processing because we have to track either white or black pixels. If you have color image then there are varieties of pixels such as red, blue, green, etc which makes image processing relatively difficult. By the way, if you have already a black & white image then no need to change it.

    • @MF-un3wi
      @MF-un3wi 3 роки тому

      @@chakraprasadjoshi Ah ok I think I understand. No I have coloured images, but I was changing them to B&W using binary. I see that when I play around with thresholding, I get a bit more accuracy.
      But I have a few photos with the sun in the back and then I get the same problem as in your video with either everything become white, or everything becoming black. So I will try your second method with the filter. Thank you!

  • @theluchos01
    @theluchos01 5 років тому +1

    Excelent video.
    Thank you

  • @santiagoiancilevich9042
    @santiagoiancilevich9042 10 місяців тому

    thank you so much for this video, it´s so informative

  • @vipinrana7732
    @vipinrana7732 3 роки тому

    VERY NICE VIDEO...Can u pls make video on calculating vessel density

  • @The-searcher004
    @The-searcher004 3 роки тому

    Dear sir, can we calculate the length of nanowire using image threshold method ?

  • @abhijeetwaghire1905
    @abhijeetwaghire1905 5 років тому +1

    Why u Choose set scale pixel of 1024 & 175 ??

    • @chakraprasadjoshi
      @chakraprasadjoshi  5 років тому

      Dear Abhijeet,
      We chose 1024 & 175 because our captured optical microscopy image width is 1024 pixels which =175 μm. We determine this number through image calibration and changes according to optical magnification.

  • @drsiprarout5704
    @drsiprarout5704 4 роки тому

    nice concept. can u explain the how automated cell number counting can be done on an IHC slide using Image J

  • @flornatur
    @flornatur 8 років тому +1

    So cool! Thank you very much

  • @IhabBeghdaoui1
    @IhabBeghdaoui1 4 роки тому

    Thank you so much, You saved me so hard

  • @enaamalqaisi3314
    @enaamalqaisi3314 7 років тому

    Could you please explian to me how did you decide to put the number 175 micron? because I used one of the online units converter and it gave me that each one pixel =264.58 micron

    • @chakraprasadjoshi
      @chakraprasadjoshi  7 років тому +1

      Dear Enaam, we have measured the standard object first to know the frame width in micron. In our case, 1024 pixels = 175 micron. This value changes according to lens magnification.

    • @enaamalqaisi3314
      @enaamalqaisi3314 7 років тому

      Hi, Thank you so much for your reply. I don't understand exactly how did you measure the standard object. However, my scale bar is 500 micron and I took pictures for my samples under 40x lens. Hopefully these information are helpful for you to help me finding out the values I should put in the imagej (1599*1200 pixels).

    • @enaamalqaisi3314
      @enaamalqaisi3314 7 років тому

      I don't have any problem to share one of my images with you just to help you figure out what number should I put. Thanks again

    • @chakraprasadjoshi
      @chakraprasadjoshi  7 років тому

      Hi enaam, we used micron ruler for calibration. You may use some known objects (micro size) and then calibrate your image.By the way, 500 μm corresponds to your entire image width (from left to right) or a part?

  • @subhajitbandopadhyay5781
    @subhajitbandopadhyay5781 7 років тому

    Hello,
    I would just like to know that is this software ImageJ dealing with HYPERSPECTRAL REMOTE SENSING IMAGE ?

    • @chakraprasadjoshi
      @chakraprasadjoshi  7 років тому

      Dear Subhajit,
      Yes, it would deal with hyperspectral remote sensing images but depends what you want to analyze in that image.

  • @abidullah91
    @abidullah91 3 роки тому

    Hiiiiii. Nice video

  • @FariborzSoroush
    @FariborzSoroush 7 років тому +1

    you could simple split channels to get single colored images in R or G or B channel. couldn't you?

    • @CoLocalizationRS
      @CoLocalizationRS 7 років тому

      You can effortlessly split RGB image according to single channels using CoLocalizer Pro for Mac: colocalizer.com/mac.html

  • @hammadaziz2809
    @hammadaziz2809 5 років тому

    how did you see nano particles under optical microscope?

    • @chakraprasadjoshi
      @chakraprasadjoshi  5 років тому

      Dear Hammad,
      We are not seeing individual nanoparticles under the optical microscope rather a collection of nanoparticles that form islands.

  • @chiomaokpara105
    @chiomaokpara105 5 місяців тому

    Who is watching this on July 2024 is it still the same method?

  • @mdrashedulislam8581
    @mdrashedulislam8581 Рік тому

    How to calcukate percent of shaddow of any photo?

  • @rawazhamaali8825
    @rawazhamaali8825 8 років тому

    Hello Friend
    I need your help to define the diseased area in Crown rot disease. this disease is a fungus disease affect wheat plant root and crown area. it turns the colour into brown . I want to use image J to define the area and be able to distinguish diseased plant from non-disased one. would you be able to guide me how to do that with image J
    Thanks in advance

    • @chakraprasadjoshi
      @chakraprasadjoshi  8 років тому

      Hi Rawaz, do you have a color image or a black and white image?

    • @rawazhamaali8825
      @rawazhamaali8825 8 років тому

      +chakraprasadjoshi I have a color images

    • @rawazhamaali8825
      @rawazhamaali8825 8 років тому

      +chakraprasadjoshi I have a color images

    • @chakraprasadjoshi
      @chakraprasadjoshi  8 років тому

      Hi Rawaz, is it okay for you to share your image file (link via Google drive or other media) so that we can look at it.

    • @mmasif101
      @mmasif101 7 років тому

      the last step is not working, may i know your e-mail so that i can send my image

  • @sumanbudhathoki1122
    @sumanbudhathoki1122 5 років тому +1

    Thank you sir. 🇳🇵

  • @MarkvacStudio
    @MarkvacStudio 7 років тому

    Hi , Can you tell me the software Name ?

  • @andrewmcc6935
    @andrewmcc6935 5 років тому

    You can just type in "um" for micron rather than copying from word

    • @aldihofmann6086
      @aldihofmann6086 5 років тому

      I recently watched someone get destroyed during a thesis defense for using u instead of μ in their presentation.

    • @andrewmcc6935
      @andrewmcc6935 5 років тому +1

      A.N. Hofmann I was referring to the software recognising um automatically as a micron and changing it for you, rather that the authors method of copying it over from word like on the video.

  • @emanuelesouza9469
    @emanuelesouza9469 6 років тому +1

    Obrigada!!

  • @hassanrezavi
    @hassanrezavi 4 роки тому

    dude say hi in low voice. you damaged my ear drums

  • @DrTriratneshGajbhiye
    @DrTriratneshGajbhiye 6 років тому

    Thank you for information.

  • @Mrnothing1777
    @Mrnothing1777 7 років тому

    thank you

  • @m.sidukkkkkkkk
    @m.sidukkkkkkkk 4 роки тому

    Hyyyyyyyyyeeeeeeeee.
    what a annoying Hi it was.
    😁😁

  • @dioxan1676
    @dioxan1676 Рік тому

    Wokege

  • @ruutusnata
    @ruutusnata 6 років тому

    thank you