A local fuzzy thresholding methodology for multiregion image segmentation-Reference-Cited by-同舟云学术

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A local fuzzy thresholding methodology for multiregion image segmentation

Published:2015-07 Issue: Volume:83 Page:1-12
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Aja-Fernández Santiago,Curiale Ariel Hernán,Vegas-Sánchez-Ferrero Gonzalo

Funder

Ministerio de Ciencia e Innovación

MECyT (Argentina)

Fundación Carolina (Spain)

Universidad de Valladolid FPI-Uva

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference65 articles.

1. Level-set segmentation of brain tumors using a threshold-based speed function;Taheri;Image Vis. Comput.,2010

2. Level set analysis for leukocyte detection and tracking;Mukherjee;IEEE Trans. Image Proccess.,2004

3. Reduction of ring artefacts in high resolution micro-CT reconstructions;Sijbers;Phys. Med. Biol.,2004

4. Thresholding for change detection;Rosin;Comput. Vis. Image Understanding,2002

5. Evaluation of global image thresholding for change detection;Rosin;Pattern Recogn. Lett.,2003

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