Hello everyone,
I’m currently working on developing a custom image filter in ITK for a research project, and I’m hoping to get some guidance on best practices, especially when it comes to performance and thread safety.
My filter performs a voxel-wise computation that’s not easily expressed through existing filters like UnaryGenerator or BinaryFunctor. The operation involves accessing a local neighborhood for each pixel and applying a custom mathematical transformation that depends on both intensity values and spatial relationships. Because of the spatial dependencies, I’m unsure how to structure the filter to best take advantage of ITK’s multi-threading.
I’ve reviewed the ITK Software Guide’s sections on creating custom filters, and I understand the general pattern of overriding ThreadedGenerateData.
My questions are:
- Are there recommended examples or templates for building multi-threaded, neighborhood-aware filters in modern ITK (v5.x or newer)?
- Is there a preferred strategy for handling temporary or intermediate buffers that need to be shared across threads but written in a thread-safe way?
- Would it be better to split the operation into two filters — one for gathering statistics and one for applying the transformation?
- Any tips for leveraging the ThreadedImageRegionPartitioner or other recent multi-threading improvements?
However, while exploring sap abap training in chennai, I’m also concerned about memory access patterns—particularly when using neighborhood iterators—and how to avoid race conditions when writing intermediate results or shared statistics.
I’d appreciate any examples, insights, or gotchas the community can share. Thanks in advance!