Comments (3)
Today, I added the ability to reduce image size and resolution using the "-bin" argument to "filter_mrc". (This feature is implemented in visfd/resample.hpp.) This will make a dramatic difference in the computation time needed to perform blob detection. The location and size of the detected blobs will be scaled up accordingly to compensate for the reduction in resolution. If the user is detecting blobs whose diameter is much larger than a few voxels, then reducing the resolution will not have a noticeable effect on the results. I have updated the examples (and the tutorial) to take advantage of this feature.
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As of v0.29.3, this reduction in resolution happens automatically to make sure the speed of the algorithm remains within reasonable limits. Users can override this by manually specifying the "-bin" argument.
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I used the new code on some large blobs. I think this issue has been resolved. Closing.
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Related Issues (15)
- masking is broken HOT 1
- poor signal-to-noise near mask or image boundaries
- [Feature Request] improve signal-to-noise of surface geometry near edges HOT 1
- PoissonRecon generated surfaces are sometimes wrong when using -must-link constraints HOT 1
- warning: incompatible with old versions of GCC
- blob detection stopped working on 2021-10-18 HOT 1
- The "-must-link" argument stopped working on 2021-10-18 HOT 2
- -connect (ClusterConnected()) behaves strangely when compiled without -g HOT 3
- tensor-voting is slow HOT 3
- -auto-thresh and -supervised fail if there are a large number of negative controls on both sides of the accepted data HOT 1
- avoid using the "-Ofast" compiler flag HOT 1
- voxelize_mesh.py consumes too much time and memory HOT 2
- [Feature Request] add "must-not-link" constraints
- [Feature Request] add a tutorial HOT 3
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