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#imageconvolution — Public Fediverse posts

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  1. @Pappy Sorry for not explaining image convolution further. It's basically sweeping a small "kernel" over each pixel (and its neighbors) to compute/derive a new image. In this example, the kernel is looking at 3x3 pixel regions and either returns 1 (for a white pixel) or 0 (for black). The result will only be 1 if the center pixel value is greater than its neighbors. And since that convolution/kernel is applied to the distance image, the result is that here only the pixels with the greatest distance from the source shape will be selected for the next round of processing. With each iteration, the result image will become more and more chaotic & noisy...

    Here's more about image convolution in general:
    en.wikipedia.org/wiki/Kernel_(

    FWIW I'm using thi.ng/pixel for this (which provides the convolution tools and various kernel presets, and also lets you define custom kernels....)

    #ThingUmbrella #ImageConvolution #Kernel