Cannot get laplacian operator from leads given by a computer vision book

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This a follow up question to this one. I've tried to follow the explanation given that should allow me to derive a laplacian operator, But what I got isn't correct.



The quote is from "Computer Vision : Algorithms and Application - Richard Szeliski", in the edge detection section (the quote is in the linked question).



Can anyone explain how exactly how to get the laplacian? My attempt is in the linked question, but it turned out to be wrong.



Thank you




proof-writing laplacian image-processing computer-vision




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    up vote
    0
    down vote

    favorite












    This a follow up question to this one. I've tried to follow the explanation given that should allow me to derive a laplacian operator, But what I got isn't correct.



    The quote is from "Computer Vision : Algorithms and Application - Richard Szeliski", in the edge detection section (the quote is in the linked question).



    Can anyone explain how exactly how to get the laplacian? My attempt is in the linked question, but it turned out to be wrong.



    Thank you




    proof-writing laplacian image-processing computer-vision




    share|cite|improve this question





















      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      This a follow up question to this one. I've tried to follow the explanation given that should allow me to derive a laplacian operator, But what I got isn't correct.



      The quote is from "Computer Vision : Algorithms and Application - Richard Szeliski", in the edge detection section (the quote is in the linked question).



      Can anyone explain how exactly how to get the laplacian? My attempt is in the linked question, but it turned out to be wrong.



      Thank you




      proof-writing laplacian image-processing computer-vision




      share|cite|improve this question











      This a follow up question to this one. I've tried to follow the explanation given that should allow me to derive a laplacian operator, But what I got isn't correct.



      The quote is from "Computer Vision : Algorithms and Application - Richard Szeliski", in the edge detection section (the quote is in the linked question).



      Can anyone explain how exactly how to get the laplacian? My attempt is in the linked question, but it turned out to be wrong.



      Thank you





      proof-writing laplacian image-processing computer-vision





      share|cite|improve this question










      share|cite|improve this question




      share|cite|improve this question









      asked Jul 24 at 9:28









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