This week we have a relatively easy challenge on a topic that we haven’t explored very much: image processing!
The goal? Preserve the identity of a crime witness by blurring their image.
Here is the challenge. Let’s use this thread to post our solutions to it, which should be uploaded to your public KNIME Hub spaces with tag JKISeason2-12.
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Hello JKIers,
Here is my take on ‘JKI S02-CH12’. For this opportunity I’ve tested a Py coding approach, based on Image SVD (singular value decomposition)
Hi all,
this is mine…similar to other solutions.
I just tried to give the possibility to choose some parameters with the slider widget and get the image from a personal URL.
It was an interesting exercise, since I do not have much experience working with images. Here is my solution, I found multiple way to process the image to meet the requirements and created an interactive component.
Hello JKIers,
As the other participants do, I’m enjoying this challenge as well; Do so, I’ve been kept working in and upgrading the solution.
So aiming to keep you updated; I’ve added a functional requirement (Blurring Method), based in Python as well. This is the classical ‘Pixelation’. A combination of the two Methods (SVD + Pixelation) would be doable, but this is enough for the challenge.
I tried blurring the image with arbitrary height. It is possible to change the sigma and blurred area. I used “image cropper” and “merger”, which were complicated for me to use, but I managed to do it. Thanks.
Hi All- here is my solution. On the side, i am learning to play a bit with the data app header component we all loved last week and so i chose to use this to render the image.
Mine is very simple this week. I have used the -Single Selection Widget- and the -Slider Widget- nodes so the user can change the Out of Bounds Strategy and the Sigmas value in the -Gaussian Convolution- node. Afterwards, I’ve converted the ImgPlus to PNG and used the -Image Output Widget- node to display the image in the interactive view: