Robust Automatic Threshold Selection
Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/370
New: Prefer using the following doi: https://doi.org/10.54294/7w23qz
Submitted by Gaetan Lehmann on 2006-11-17T15:39:49Z.
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.