Timeline for How to intelligently use Binarize[] to find the surface concentration of an image?
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 3, 2014 at 6:04 | comment | added | user484 | Some denoising, using e.g. WienerFilter or TotalVariationFilter, will also help avoid the "shading in some black in the spots where there's nothing". | |
| Nov 3, 2014 at 2:40 | history | tweeted | twitter.com/#!/StackMma/status/529100783648653312 | ||
| Nov 3, 2014 at 2:17 | answer | added | halirutan | timeline score: 7 | |
| Nov 3, 2014 at 1:22 | comment | added | bobthechemist | I wonder if adjusting the image histogram would allow you to make images obtained across multiple days a bit more consistent. | |
| Nov 2, 2014 at 22:50 | comment | added | shrx | Also try BilateralFilter and MorphologicalBinarize | |
| Nov 2, 2014 at 21:11 | comment | added | paw | LocalAdaptiveBinarize gives you a little more control over the binarization and helps a lot if you have a brightness gradient in you images. | |
| Nov 2, 2014 at 21:05 | history | asked | F dot Floss | CC BY-SA 3.0 |