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--- usage:advanced_usage [2020/09/23 13:00] – [Custom feature extraction] pseudomoaner
+++ usage:advanced_usage [2022/09/05 23:05] (current) – pseudomoaner
@@ Line 47: / Line 47: @@
 If using the stand-alone version of FAST, functions that can write .mat files from other languages (such as R's [[https://www.rdocumentation.org/packages/R.matlab/versions/3.6.2/topics/writeMat|writeMat]] function) should be used to perform this step.
-You will also need to provide FAST with the raw images from your dataset. This can be performed using FIJI in a similar way to the the segmentations, but each file ('Frame_0000.tif' etc.) should be save in a folder named 'Channel_N', where N indicates the index of the channel that image represents. For example, the 5th image of the 2nd channel in your dataset should be saved under 'root/Channel_2/Frame_004.tif'.
+You will also need to provide FAST with the raw images from your dataset. This can be performed using FIJI in a similar way to the the segmentations, but each file ('Frame_0000.tif' etc.) should be saved in a folder named 'Channel_N', where N indicates the index of the channel that image represents. For example, the 5th image of the 2nd channel in your dataset should be saved under 'root/Channel_2/Frame_004.tif'.
 ==== Custom feature extraction ====
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 %   OUTPUTS:
 %       -feats: Vector of extracted feature values. If inSeg and inChans
-%       are empty, should return a vector of zeros of the same size - this
+%       are empty, should return a vector of zeros of the same size as
+%       the output feature vector if these inputs were not empty - this
 %       is used to initialise storage in the feature extraction engine.
 %