Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices

Bibliographic Details
Published in:EURASIP Journal on Image and Video Processing
Main Authors: Carvajal-Gámez, Blanca E., Trejo-Salazar, David B., Gendron, Diane, Gallegos-Funes, Francisco J.
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2017
Subjects:
Electrical and Electronic Engineering
Information Systems
Signal Processing
Blue whale
Online Access:http://dx.doi.org/10.1186/s13640-016-0153-2
http://link.springer.com/content/pdf/10.1186/s13640-016-0153-2.pdf
http://link.springer.com/article/10.1186/s13640-016-0153-2/fulltext.html
id crspringernat:10.1186/s13640-016-0153-2
record_format openpolar
spelling crspringernat:10.1186/s13640-016-0153-2 2023-05-15T15:45:06+02:00 Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices Carvajal-Gámez, Blanca E. Trejo-Salazar, David B. Gendron, Diane Gallegos-Funes, Francisco J. 2017 http://dx.doi.org/10.1186/s13640-016-0153-2 http://link.springer.com/content/pdf/10.1186/s13640-016-0153-2.pdf http://link.springer.com/article/10.1186/s13640-016-0153-2/fulltext.html en eng Springer Science and Business Media LLC http://creativecommons.org/licenses/by/4.0 CC-BY EURASIP Journal on Image and Video Processing volume 2017, issue 1 ISSN 1687-5281 Electrical and Electronic Engineering Information Systems Signal Processing journal-article 2017 crspringernat https://doi.org/10.1186/s13640-016-0153-2 2022-01-04T15:02:36Z Article in Journal/Newspaper Blue whale Springer Nature (via Crossref) EURASIP Journal on Image and Video Processing 2017 1
institution Open Polar
collection Springer Nature (via Crossref)
op_collection_id crspringernat
language English
topic Electrical and Electronic Engineering
Information Systems
Signal Processing
spellingShingle Electrical and Electronic Engineering
Information Systems
Signal Processing
Carvajal-Gámez, Blanca E.
Trejo-Salazar, David B.
Gendron, Diane
Gallegos-Funes, Francisco J.
Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices
topic_facet Electrical and Electronic Engineering
Information Systems
Signal Processing
format Article in Journal/Newspaper
author Carvajal-Gámez, Blanca E.
Trejo-Salazar, David B.
Gendron, Diane
Gallegos-Funes, Francisco J.
author_facet Carvajal-Gámez, Blanca E.
Trejo-Salazar, David B.
Gendron, Diane
Gallegos-Funes, Francisco J.
author_sort Carvajal-Gámez, Blanca E.
title Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices
title_short Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices
title_full Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices
title_fullStr Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices
title_full_unstemmed Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices
title_sort photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices
publisher Springer Science and Business Media LLC
publishDate 2017
url http://dx.doi.org/10.1186/s13640-016-0153-2
http://link.springer.com/content/pdf/10.1186/s13640-016-0153-2.pdf
http://link.springer.com/article/10.1186/s13640-016-0153-2/fulltext.html
genre Blue whale
genre_facet Blue whale
op_source EURASIP Journal on Image and Video Processing
volume 2017, issue 1
ISSN 1687-5281
op_rights http://creativecommons.org/licenses/by/4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.1186/s13640-016-0153-2
container_title EURASIP Journal on Image and Video Processing
container_volume 2017
container_issue 1
_version_ 1766379470292254720

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