Robust threshold estimation for images with unimodal histograms
Abstract
This article introduces a method to determine in a robust manner the threshold in highly noisy gradient images. To enhance the robustness, the proposed technique is based on a piecewise linear regression to fit the whole descending slope of the histogram, rather than the search of some specific points. The algorithm gives a reliable estimation of the threshold, and is practically insensitive to the noise distribution, to the quantity of edge pixels to segment, and to random histogram fluctuations.
- Publication:
-
Pattern Recognition Letters
- Pub Date:
- 2010
- DOI:
- 10.1016/j.patrec.2009.12.025
- Bibcode:
- 2010PaReL..31.1010C
- Keywords:
-
- Automatic thresholding;
- Image histogram;
- Unimodal distribution;
- Edge detection