Smooth 2D data in non-regular distribution pattern for colormap-based representation
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Hello everyone
I have a discrete set of data which looks like the one represented by the dots within the white background-based region displayed in this sketch![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1608826/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1608826/image.png)
My goal is to obtain a smoother data set in the aforementioned region to represent it through the image environment. My approach to this problem, usually, would be to use RegularizeData3D, as suggested by @Mathieu NOE in his answer to a previous post, Smooth 2D colormap based on non-evenly distributed data. However, in this case, due to the spatial distribution, this approach does not seem very appropiate. Could someone recommend a way to increase the number of points within the white region, without potential interpolation being affected by the non-existence of values in the out-of-borders-based gray area?
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Image Analyst
el 6 de Feb. de 2024
You could use the convex hull and then use linspace to create more points in between the vertices. But like I said in your other post, I don't think you need to smooth your data.
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