
Robust Automatic Threshold Selection
Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/370 |
Published in The Insight Journal - 2006 July - December.
Submitted by Gaetan Lehmann on 11-17-2006.
Robust Automatic Threshold Selection (RATS) is a fast and noise robust
automatic thresholding method based on gradients in the image. The basic idea is to choose
the threshold at the intensity where the gradient are the highest.
automatic thresholding method based on gradients in the image. The basic idea is to choose
the threshold at the intensity where the gradient are the highest.
Data
Code
Reviews
Quick Comments
Resources
![]() |
|
Download All |
Statistics more
![]() |
|
Global rating: | ![]() ![]() ![]() ![]() ![]() |
Review rating: | ![]() ![]() ![]() ![]() ![]() |
Code rating: | |
Paper Quality: |
![]() ![]() |
Information more
![]() |
|
Categories: | Filtering, Generic Programming, Thresholding |
Keywords: | automatic threshold, gradient |
Toolkits: | ITK, CMake |
Export citation: |
Share
![]() |
Linked Publications more
![]() |
||
![]() by Tustison N., Gee J.
|
||
![]() by Gorthi S., Bach Cuadra M., Thiran J.
|
View license
Loading license...
Send a message to the author
