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Approaches

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rspeare edited this page Nov 21, 2015 · 11 revisions

From what I've read online, we have a few choices to isolate the brain (feel free to add to this list)

Possible Approaches

  • Thresholding (Very Naive. Good Benchmark)
  • Canny Edge Detection + Morphological "Fill in" (Subject to discontinuous boundaries)
  • Sobel Filter + Markers + Watershed Transform (Seems like the best option so far -- without empirical validation)
  • Histogram-Based segmentation -- what amounts to "Bump hunting" and cutting on modes

There are many choices of filters that will pick out edges. Both Sobel and Canny use a convolution kernel which essentially calculates derivatives of gray scale values in the 8 cardinal directions.

We might want to think about:

Preprocessing

  • Denoising
  • Smoothing with a Gaussian or "Disk Median"
  • Morphological Opening and Closing to get rid of scattered members in contiguous regions
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