How to find the convolution matrix?









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A isthe kernel and B is an image. How do you find a convolution matrix out of this equation?



A(x,y) = B(x,y) + 4B(x+1,y-1) + 2B(x,y+1) + 5B(x-1,y)



And directions are as below



 (x-1,y-1) (x-1,y) (x-1,y+1)
(x,y-1) (x,y) (x,y+1)
(x+1,y-1) (x+1,y) (x+1,y+1)


is the matrix below?



 0 5 0
0 1 2
4 0 0









share|improve this question



























    up vote
    0
    down vote

    favorite












    A isthe kernel and B is an image. How do you find a convolution matrix out of this equation?



    A(x,y) = B(x,y) + 4B(x+1,y-1) + 2B(x,y+1) + 5B(x-1,y)



    And directions are as below



     (x-1,y-1) (x-1,y) (x-1,y+1)
    (x,y-1) (x,y) (x,y+1)
    (x+1,y-1) (x+1,y) (x+1,y+1)


    is the matrix below?



     0 5 0
    0 1 2
    4 0 0









    share|improve this question

























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      A isthe kernel and B is an image. How do you find a convolution matrix out of this equation?



      A(x,y) = B(x,y) + 4B(x+1,y-1) + 2B(x,y+1) + 5B(x-1,y)



      And directions are as below



       (x-1,y-1) (x-1,y) (x-1,y+1)
      (x,y-1) (x,y) (x,y+1)
      (x+1,y-1) (x+1,y) (x+1,y+1)


      is the matrix below?



       0 5 0
      0 1 2
      4 0 0









      share|improve this question















      A isthe kernel and B is an image. How do you find a convolution matrix out of this equation?



      A(x,y) = B(x,y) + 4B(x+1,y-1) + 2B(x,y+1) + 5B(x-1,y)



      And directions are as below



       (x-1,y-1) (x-1,y) (x-1,y+1)
      (x,y-1) (x,y) (x,y+1)
      (x+1,y-1) (x+1,y) (x+1,y+1)


      is the matrix below?



       0 5 0
      0 1 2
      4 0 0






      image-processing matrix convolution






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 10 at 13:33









      Frank Puffer

      6,64511035




      6,64511035










      asked Nov 9 at 16:58









      Thunfische

      1151313




      1151313






















          1 Answer
          1






          active

          oldest

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          up vote
          1
          down vote



          accepted










          It depends on how you define your pixel coordinates. If the origin is at the right (!) bottom of the image, x runs from bottom to top and y from right to left, your matrix is correct. However this is quite an uncommon choice.



          If your origin is at the bottom left, x runs from left to right and y runs from bottom to top, the matrix would be:



          4 0 0
          0 1 5
          0 2 0


          Note that the directions are inverted: For example, the matrix coefficient on the right of the center is applied to the picel on the left.



          By the way, it is not correct that A is the kernel for arbitrary B. This is only the case for B[0,0] == 1 and B[x,y] == 0 for all other values of x and y.



          Update:
          So your x runs from top to bottom and your y from left to right. Then the convolution matrix is:



          0 0 4
          2 1 0
          0 5 0





          share|improve this answer






















          • Origin is at the center of the image
            – Thunfische
            Nov 10 at 0:14










          • Actually the origin position is not important. It's the directions that matter.
            – Frank Puffer
            Nov 10 at 7:25










          • Updated the question
            – Thunfische
            Nov 10 at 12:55










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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          1
          down vote



          accepted










          It depends on how you define your pixel coordinates. If the origin is at the right (!) bottom of the image, x runs from bottom to top and y from right to left, your matrix is correct. However this is quite an uncommon choice.



          If your origin is at the bottom left, x runs from left to right and y runs from bottom to top, the matrix would be:



          4 0 0
          0 1 5
          0 2 0


          Note that the directions are inverted: For example, the matrix coefficient on the right of the center is applied to the picel on the left.



          By the way, it is not correct that A is the kernel for arbitrary B. This is only the case for B[0,0] == 1 and B[x,y] == 0 for all other values of x and y.



          Update:
          So your x runs from top to bottom and your y from left to right. Then the convolution matrix is:



          0 0 4
          2 1 0
          0 5 0





          share|improve this answer






















          • Origin is at the center of the image
            – Thunfische
            Nov 10 at 0:14










          • Actually the origin position is not important. It's the directions that matter.
            – Frank Puffer
            Nov 10 at 7:25










          • Updated the question
            – Thunfische
            Nov 10 at 12:55














          up vote
          1
          down vote



          accepted










          It depends on how you define your pixel coordinates. If the origin is at the right (!) bottom of the image, x runs from bottom to top and y from right to left, your matrix is correct. However this is quite an uncommon choice.



          If your origin is at the bottom left, x runs from left to right and y runs from bottom to top, the matrix would be:



          4 0 0
          0 1 5
          0 2 0


          Note that the directions are inverted: For example, the matrix coefficient on the right of the center is applied to the picel on the left.



          By the way, it is not correct that A is the kernel for arbitrary B. This is only the case for B[0,0] == 1 and B[x,y] == 0 for all other values of x and y.



          Update:
          So your x runs from top to bottom and your y from left to right. Then the convolution matrix is:



          0 0 4
          2 1 0
          0 5 0





          share|improve this answer






















          • Origin is at the center of the image
            – Thunfische
            Nov 10 at 0:14










          • Actually the origin position is not important. It's the directions that matter.
            – Frank Puffer
            Nov 10 at 7:25










          • Updated the question
            – Thunfische
            Nov 10 at 12:55












          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          It depends on how you define your pixel coordinates. If the origin is at the right (!) bottom of the image, x runs from bottom to top and y from right to left, your matrix is correct. However this is quite an uncommon choice.



          If your origin is at the bottom left, x runs from left to right and y runs from bottom to top, the matrix would be:



          4 0 0
          0 1 5
          0 2 0


          Note that the directions are inverted: For example, the matrix coefficient on the right of the center is applied to the picel on the left.



          By the way, it is not correct that A is the kernel for arbitrary B. This is only the case for B[0,0] == 1 and B[x,y] == 0 for all other values of x and y.



          Update:
          So your x runs from top to bottom and your y from left to right. Then the convolution matrix is:



          0 0 4
          2 1 0
          0 5 0





          share|improve this answer














          It depends on how you define your pixel coordinates. If the origin is at the right (!) bottom of the image, x runs from bottom to top and y from right to left, your matrix is correct. However this is quite an uncommon choice.



          If your origin is at the bottom left, x runs from left to right and y runs from bottom to top, the matrix would be:



          4 0 0
          0 1 5
          0 2 0


          Note that the directions are inverted: For example, the matrix coefficient on the right of the center is applied to the picel on the left.



          By the way, it is not correct that A is the kernel for arbitrary B. This is only the case for B[0,0] == 1 and B[x,y] == 0 for all other values of x and y.



          Update:
          So your x runs from top to bottom and your y from left to right. Then the convolution matrix is:



          0 0 4
          2 1 0
          0 5 0






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 10 at 13:41

























          answered Nov 9 at 17:50









          Frank Puffer

          6,64511035




          6,64511035











          • Origin is at the center of the image
            – Thunfische
            Nov 10 at 0:14










          • Actually the origin position is not important. It's the directions that matter.
            – Frank Puffer
            Nov 10 at 7:25










          • Updated the question
            – Thunfische
            Nov 10 at 12:55
















          • Origin is at the center of the image
            – Thunfische
            Nov 10 at 0:14










          • Actually the origin position is not important. It's the directions that matter.
            – Frank Puffer
            Nov 10 at 7:25










          • Updated the question
            – Thunfische
            Nov 10 at 12:55















          Origin is at the center of the image
          – Thunfische
          Nov 10 at 0:14




          Origin is at the center of the image
          – Thunfische
          Nov 10 at 0:14












          Actually the origin position is not important. It's the directions that matter.
          – Frank Puffer
          Nov 10 at 7:25




          Actually the origin position is not important. It's the directions that matter.
          – Frank Puffer
          Nov 10 at 7:25












          Updated the question
          – Thunfische
          Nov 10 at 12:55




          Updated the question
          – Thunfische
          Nov 10 at 12:55

















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