Image Analysis Tips of the Month
We recently began sharing valuable tips and workflows we have learned from our decades of developing and using image analysis software. We have since received several requests to continue such posts, as well as collect many of them into a single article. Great news -- we are going to do both!
My connections, as well as followers of MIPAR's company page, will continue to receive bi-weekly general image analysis tips -- we hope you enjoy!
Below, we have collected "the best of" our published tips so far. Happy image processing!
Globs and Strips
Tackle challenging shape segmentation with the following steps:
Threshold → Erode → Remove All Small Features → Remove Medium Eccentric Features → Dilate
Want to run this in two mouse clicks? Download the Recipe file now at: https://buff.ly/2lySn47
Grain Contrast Segmentation
Tackle challenging grain boundary segmentation using grain contrast and weak boundary markings. Start with an adaptive threshold to detect subtle contrast boundaries. Reject small artifacts, “connect the dots” with a watershed separation, then clean the boundaries to create clean, 1-pixel thick grain separations!
Want to run this in two mouse clicks? Download the Recipe file now at: https://buff.ly/2lSf0jK
Bi-modal Segmentation Problems
Tackle challenging bi-modal segmentation problems by targeting large and small features separately, then combine the results at the end. Coarse adaptive thresholding for the large features, fine thresholding for the small -- it’s the best of both words!
Embedded Software Engineer
7 年Commercial Software, so I will pass