Sample Gaussian Matrix
This is a sample matrix, produced by sampling the Gaussian filter kernel (with σ = 0.84089642) at the midpoints of each pixel and then normalizing. Note that the center element (at ) has the largest value, decreasing symmetrically as distance from the center increases.
0.00000067 | 0.00002292 | 0.00019117 | 0.00038771 | 0.00019117 | 0.00002292 | 0.00000067 |
0.00002292 | 0.00078633 | 0.00655965 | 0.01330373 | 0.00655965 | 0.00078633 | 0.00002292 |
0.00019117 | 0.00655965 | 0.05472157 | 0.11098164 | 0.05472157 | 0.00655965 | 0.00019117 |
0.00038771 | 0.01330373 | 0.11098164 | 0.22508352 | 0.11098164 | 0.01330373 | 0.00038771 |
0.00019117 | 0.00655965 | 0.05472157 | 0.11098164 | 0.05472157 | 0.00655965 | 0.00019117 |
0.00002292 | 0.00078633 | 0.00655965 | 0.01330373 | 0.00655965 | 0.00078633 | 0.00002292 |
0.00000067 | 0.00002292 | 0.00019117 | 0.00038771 | 0.00019117 | 0.00002292 | 0.00000067 |
Note that 0.22508352 (the central one) is 1177 times larger than 0.00019117 which is just outside 3σ.
Read more about this topic: Gaussian Blur
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