![]() To install, simply unzip to your Effects folder. Without Paint.NET and Code Lab, none of my plugins would exist. Use this effect at your own risk.Īs usual, thanks to Rick Brewster, Tom Jackson, and Boltbait. You've been warned! Please remember to save your images. ![]() It took 2.8 GB of memory to do it, and it sucked up an entire CPU core for about five minutes. I tested a 39 megapixel image with two clusters, and somehow, it did actually manage to return a result. If you tell it to find 32 clusters in a large image, you'll be waiting for a very long time. They can be relaxed somewhat by checking the "high quality" box. This was the only major issue that I encountered in my testing, so I incorporated two safeguards that should prevent the clustering algorithm from running on forever. If you push the bias too far to the left or right, or increase the number of clusters too much, it could result in the effect running for a very long time. Original Imageīe careful with the sliders when you run this on large images. I saw while writing this post that jxp has released a plugin that saves the colors in the image as a palette file, so you might want to use that as well!ģ2 clusters, bias 0.01, "Display palette.", "Higher quality". If the colors in the palette are a little too distinct, you can also move the slider a little ways towards the right. If the palette doesn't seem to contain enough colors, increase "number of colors" by 1. Original ImageĬheck the "Display palette instead of segmentation" box. Some clusters were merged by selecting them with Magic Wand (global fill mode, tolerance 0%) and then running Average Color (HSL). Then check the "Higher quality" box.Īround 10 clusters, bias somewhere near 0.5, "Higher quality". This is the preferred way to fix any issues with the clustering, but if there really do seem to be too few or too many different clusters, adjust "Number of clusters" up or down by 1 as appropriate. If adjacent parts of your image that should be one continuous cluster are split into several clusters, move the bias slider right by a small amount. ![]() If adjacent parts of your image that should be distinct seem to be stuck together in one cluster, move the bias slider to the left by a small amount. Start out with a guess as to the number of clusters in the image. If you check it, the representative colors of all the groups will be displayed as a set of horizontal bars over the selection. If you leave the checkbox unchecked, the effect will fill each pixel in a group with a representative color for that group. The UI allows you to specify the number of groups that you'd like the effect to look for, the relative influence of the color variables and the location variables, and the type of output that you'd like to see. It also helps you to find a small color palette that matches an image. So the effect helps you to break up an image into its constituent regions. ![]() It analyzes the pixels of the image and arranges them into several groups, trying to ensure that each group's pixels are relatively close together in the image and have roughly the same color. ![]() This effect performs what some might call "automatic image segmentation by clustering". But it's proven surprisingly useful, so I thought I'd port it to Visual Studio, clean it up, and post it here. I wasn't actually going to release this - it was originally a Code Lab experiment that I threw together a few days ago. Hot on the heels of #2, here's my third plugin, "Segment Image". It's now much easier to cancel the effect before it finishes running! See bottom of post for download. ![]()
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