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Meaning of convolution in computer vision? ​
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Convolution is a simple Mathematical operation which is fundamental to many common image processing operators. Convolution provides a way of `multiplying together' two arrays of numbers, generally of different sizes, but of the same dimensionality, to produce a third array of numbers of the same dimensionality. 

An (image) convolution is simply an element-wise multiplication of image arrays and another array called the kernel followed by sum. 

As you can see here,

 I = Image Array K = Kernel Array 

I * K = Resulting array after performing the convolution operator 

Note: The Kernel is passed over the whole image to geet the resulting array after convolution.


Study more about Computer Vision at Computer Vision Class 10

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