Image thresholding through nonextensive entropies and long-range correlation-Reference-Cited by-同舟云学术

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Image thresholding through nonextensive entropies and long-range correlation

Published:2023-04-13 Issue:28 Volume:82 Page:43029-43073
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Ferreira Júnior Perfilino Eugênio^ORCID,Mello Vinícius Moreira^ORCID,Giraldi Gilson Antonio^ORCID

Funder

National Institute of Science and Technology in Medicine Assisted by Scientific Computing

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14978-x.pdf

Reference84 articles.

1. Abdollahi B, Tomita N, Hassanpour S (2020) Data augmentation in training deep learning models for medical image analysis, pp 167–180. Springer international publishing, Cham. https://doi.org/10.1007/978-3-030-42750-4_6

2. Aczél J, Daóczy Z (1975) On measures of information and their characterizations. In: Mathematics in science and engineering, vol 115. Elsevier. https://doi.org/10.1016/S0076-5392(08)62737-X. https://www.sciencedirect.com/science/article/pii/S007653920862737X

3. Albuquerque MP, Esquef IA, Gesualdi Mello AR, Albuquerque MP (2004) Image thresholding using tsallis entropy. Pattern Recogn Lett 25:1059–1065

4. Alcantara RS, Ferreira Jr PE, Ramos AS (2016) Tsallis entropy extraction for mamographic region classification. In: Beltrán-Castañón C, Nyström I, Famili F (eds) Progress in pattern recognition, image analysis, computer vision, and applications. CIARP 2016. Lecture notes in computer science. Springer, Cham, vol 10125, pp 451–458

5. Babu A, Rajam V (2020) Water-body segmentation from satellite images using kapur’s entropy-based thresholding method. Comput Intell 36:1242–1260

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