Contrast Filter (prototype)
Hi everyone.
I found the Contrast Filter (prototype) Algorithm appears quite helpful for a specific task.
However, i miss a description on how this filter actually works in detail as there is no information in the reference or user book. Can someone help me out?
Using version 10.2. right now.
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Please check these links for more details about the "contrast filter segmentation":
This segmentation approach is suitable for images in which objects must be distinguished from a background. For example, islands (any land objects) and water (background). I have also had good experience detecting the furrows in fields.
Hi Chistian,
thanks for the comment. You are providing information/links on the "Contrast Filter Segmentation" algorithm, which is well documented.
The question is about the "Contrast Filter (prototype)" Algorithm in the 10.2 version that has little to no information in the documentation despite having an entry there (https://docs.ecognition.com/#eCognition_documentation/Reference%20Book/02%20Algorithms%20and%20Processes/6%20Image%20Layer%20Operation%20Algorithms/Contrast%20Filter%20Prototype.htm?Highlight=contrast%20filter).
The parameters differ from the segmentation algorithm and it gives a raster layer as output, not a segmentation level.
One can guess what the resulting grid is supposed to achieve, but the basis of calculation remains a mystery.
Ohh, I got that mixed up. Sorry.
(⊙_☉) I can only speculate and put my money on the eCognition support team, they can verify with the ENG team exactly what algorithm is being used. (ˇ෴ˇ)