A novel automated absolute intensity difference based technique for optimal MR brain image thresholding
Author:
Publisher
Elsevier BV
Subject
General Computer Science
Reference43 articles.
1. A novel technique for multilevel optimal magnetic resonance brain image thresholding using bacterial foraging;Maitra;Measurement,2008
2. A survey of thresholding techniques;Sahoo;Comput. Vis. Graph. Image Process.,1988
3. Image thresholding techniques: a survey over categories;Sankur;Pattern Recogn.,2001
4. Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy;Bhandari;Expert Syst. Appl.,2014
5. A comparative study of various meta-heuristic techniques applied to the multilevel thresholding problem;Hammouche;Eng. Appl. Artif. Intell.,2010
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