A fast thresholding selection procedure for multimodal and unimodal histograms
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference12 articles.
1. An analysis of histogram-based thresholding algorithms;Glasbey;CVGIP: Graphical Models and Image Processing,1993
2. A new method for gray-level picture thresholding using the entropy of the histogram;Kapur;Computer Vision, Graphics, and Image Processing,1985
3. On threshold selection using clustering criteria;Kittler;IEEE Trans. Syst. Man Cybernet.,1985
4. A comparative performance study of several global thresholding techniques for segmentation;Lee;Computer Vision, Graphics, and Image Processing,1990
5. Dynamic measurement of computer generated image segmentations;Levine;IEEE Trans. Pattern Anal. Mach. Intell.,1985
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