


Detailed explanation of H5+canvas convolution kernel image processing steps
This time I will bring you H5 canvas convolution kernelImage processingdetailed steps, what are the notes of H5 canvas convolution kernel image processing, the following is a practical case, one Get up and take a look.
What is convolution?
I skipped some explanations that used professional terminology and I was confused after reading it.
Since my Chinese score is very poor, I tried to explain literally what convolution is. ...
Convolution, understood as a kind of compression; product, product, accumulation;
Convolution requires a convolution kernel, usually a 3x3 or 5x5 square matrix,
For example:
// A 3x3 convolution kernel
0 0 0
0 1 0
0 0 0
How do we use it? What about the data processed by the convolution kernel?
The following is an example:
//The following is a bunch of data arranged in a square matrix
//This is our data source
1 3 5 1 3 5 1 3 5
4 5 6 1 3 5 1 3 5
4 5 6 1 3 5 1 3 5
4 5 6 1 3 5 1 3 5
We will use the convolution kernel to "scan and process" each data,
For example, to process the second row and second column5
1 3 5 0 0 0
4 5 6 * 0 1 0
4 5 6 0 0 0
We extract the numbers around 5
, and then put the two Numbers with the same position in the square matrix are multiplied and then added,
results in 5
, which is of course, because what this convolution kernel does is to output the original data
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