Hello,

I was using SimpleITK with some region growing methods, ConnectedThreshold, and 
I got a segfault. I mixed up datascructure my index and points, and the indices 
I passes to the algorithm were out of bounds this caused a segfault.

Looking at the code there is no validation of the seeds in the three region 
growing methods I looked at. These methods all seem to use the flood fill 
iterator framework. So perhaps the validation should occur there?


Looking over the code I had some thoughts on potential improvements. I know 
these basic segmentation methods are frequently used for examples, but it's not 
clear to me how popular they are in practice nor how important performance is 
to the community. Any thoughts?

I was also looking over the algorithm used. Recently, with my large sized 
images and SimpleITK have have been using 3 filters to perform similar 
operations. I have been thresholding, then running connected components then 
selecting the components I need from the seeds. The advantage of this approach 
is that it's very thread efficient and scalable. The data structures used for 
flood fill iterators include an entire image and filled to zeros at least 
twice. One of which is this potential extra call to GoToBegin:

https://github.com/Kitware/ITK/blob/master/Modules/Segmentation/RegionGrowing/include/itkConnectedThresholdImageFilter.hxx#L300


Thanks,
Brad

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