Finding value of a matrix
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I have a 3x3 matrix, for example:
d=rand(3,3)
Now i want to implement the equation
V=1/2(d(q4,q5)+d(q5,q6))
where q5 is the centre pixel
q4,46 are neighbouring pixels
for example
d= q1 q2 q3
q4 q5 q6
q7 q8 q9
please assist
1 件のコメント
Walter Roberson
2012 年 12 月 19 日
q4 and q5 and so on are values of those pixels?
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その他の回答 (2 件)
Muruganandham Subramanian
2012 年 12 月 19 日
編集済み: Muruganandham Subramanian
2012 年 12 月 19 日
d=ones(3);
V=1/2*(d(d(2,2),d(2,2))+d(d(2,2),d(2,3)))
but, If you're using rand(), d(2,2),etc.. can't be accessible, if not using ceil() or floor()..Is this you want?
7 件のコメント
FIR
2012 年 12 月 19 日
Muruganandham Subramanian
2012 年 12 月 19 日
have you tried this?
d=ones(3);
V=1/2*(d(d(2,2),d(2,2))+d(d(2,2),d(2,3)))
FIR
2012 年 12 月 19 日
Muruganandham Subramanian
2012 年 12 月 19 日
編集済み: Muruganandham Subramanian
2012 年 12 月 19 日
@FIR, thanks for corrected error.. i.e. V=1/2*(d(d(2,1),d(2,2))+d(d(2,2),d(2,3))) only..
And I explained about this in my answer previously..
d=rand(3,3)
i.e,
d=
[q1 q2 q3
q4 q5 q6
q7 q8 q9
];
here, q5=>d(2,2)..right? but, If you want to get 'q5' or other data, we're indexing by d(2,2).,and that must be an whole number, shouldn't be a float.So, by using ceil(), floor() command you can get it..but when you're using rand(), it'll be float..to avoid this you can use, randi(3,3)
FIR
2012 年 12 月 19 日
Walter Roberson
2012 年 12 月 19 日
The confusion is between pixel locations and pixel values. You wrote the question with d(q4,q5) which based on the way you wrote the question is trying to access the matrix d() at row index which is the value of the pixel you labeled q4, and column index which is the value of the pixel you labeled q5.
Muruganandham Subramanian
2012 年 12 月 19 日
@FIR, I din't worked on images, anyway, by using imread() read your image and do the calculation
Image Analyst
2012 年 12 月 19 日
0 投票
By chance do you mean just convolution with a [1 2 1]/4 kernel, where you take the average of the left pair of pixels and the right pair of pixels? If so, you'd need to extract each color plane first and then use conv2() to get the output image one color plane at a time.
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