Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Alberto J. Rosales-Silva"'
Autor:
JEAN MARIE VIANNEY-KINANI, ALBERTO J. ROSALES-SILVA, FRANCISCO J. GALLEGOS-FUNES, ALFONSO ARELLANO
Publikováno v:
Dyna, Vol 81, Iss 183, Pp 148-157 (2014)
Un sistema de procesamiento de imágenes médicas robusto depende de una variedad de aspectos, incluyendo una mejora apropiada de la imagen, y una segmentación óptima. En este artículo se propone un algoritmo para facilitar la implementación de e
Externí odkaz:
https://doaj.org/article/9fabc3f7a4154dc7bbb0ca54178ec750
Autor:
Miguel Ángel Castillo-Martínez, Francisco Javier Gallegos-Funes, Blanca E. Carvajal-Gámez, Guillermo Urriolagoitia-Sosa, Alberto J. Rosales-Silva
Publikováno v:
Information Extraction and Object Tracking in Digital Video
There are challenges in the image-based research to obtain information from the objects in the scene. Moreover, an image is a set of data points that can be processed as an object in similarity way. In addition, the research fields can be merged to g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5f557139cf62267370a57b5fe3412a2
https://mts.intechopen.com/articles/show/title/thresholding-image-techniques-for-plant-segmentation
https://mts.intechopen.com/articles/show/title/thresholding-image-techniques-for-plant-segmentation
Autor:
Alberto J. Rosales-Silva, Jean Marie Vianney Kinani, Mario Dehesa‐González, Francisco J. Gallegos-Funes, Eduardo Ramos-Diaz
Publikováno v:
Color Research & Application. 45:825-836
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::296a665040001808500f32a10d2e471b
https://doi.org/10.1002/col.22515
https://doi.org/10.1002/col.22515
Publikováno v:
Journal of Intelligent & Robotic Systems. 99:815-835
In this work, we propose the integration of a bank of Discrete Generalized Proportional Integral Observers (DGPIO) within an Interacting Multiple Model (IMM) structure in order to improve the precision of visual-tracking tasks. Applications such as v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::349d85a408a07facd4a1931d90e9067f
https://doi.org/10.1007/s10846-020-01164-6
https://doi.org/10.1007/s10846-020-01164-6
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-14 (2018)
In this paper, we develop an extensive research on different types of grayscale images applying standard non local (NL)-means algorithm on different search and patch windows sizes to obtain optimal parameters where the values of criteria peak signal-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::632d63c453e6e7ec9c1fa6a9f6297446
http://link.springer.com/article/10.1186/s13640-018-0346-y
http://link.springer.com/article/10.1186/s13640-018-0346-y
Autor:
Jean Marie Vianney-Kinani, Edwards Ernesto Sánchez-Ramírez, Rogelio Antonio Alfaro-Flores, Alberto J. Rosales-Silva
Publikováno v:
Journal of Intelligent & Robotic Systems. 95:761-775
In recent years, visual tracking algorithms based on state estimators have been developed in order to improve the performance during tracking tasks. However, this performance changes according to target type, object kinematics and scenario complexity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::936c3d5a2278944f4123d2060a572a5d
https://doi.org/10.1007/s10846-018-0926-1
https://doi.org/10.1007/s10846-018-0926-1
Autor:
Guillermo Urriolagoitia-Sosa, Blanca E. Carvajal-Gámez, Francisco J. Gallegos-Funes, Alberto J. Rosales-Silva, Miguel Ángel Castillo-Martínez
Publikováno v:
Computers and Electronics in Agriculture. 178:105783
In this paper, the color index based thresholding method for background and foreground segmentation of plant images is presented. The proposed method is implemented with color index approach, for this purpose two color indexes are modified to provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9b254cb6b9a307c7d9cdbf6145c0b5a
https://doi.org/10.1016/j.compag.2020.105783
https://doi.org/10.1016/j.compag.2020.105783
Publikováno v:
The Imaging Science Journal. 62:449-452
A variance field estimation-based steganographic method for RGB colour images is presented. The proposed method uses variance field estimation and the redundancy of approaches algorithm to provide good invisibility and fine detail preservation in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::451f7ae966780dd3e935f0dde0e365d4
https://doi.org/10.1179/1743131x13y.0000000064
https://doi.org/10.1179/1743131x13y.0000000064
Autor:
Francisco J. Gallegos-Funes, Jean Marie Vianney-Kinani, Alberto J. Rosales-Silva, Alfonso Arellano
Publikováno v:
Dyna, Vol 81, Iss 183, Pp 148-157 (2014)
Instituto Politécnico Nacional
IPN
Redalyc-IPN
Dyna (Colombia) Num.183 Vol.81
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Instituto Politécnico Nacional
IPN
Redalyc-IPN
Dyna (Colombia) Num.183 Vol.81
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Un sistema de procesamiento de imágenes médicas robusto depende de una variedad de aspectos, incluyendo una mejora apropiada de la imagen, y una segmentación óptima. En este artículo se propone un algoritmo para facilitar la implementación de e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae99774f931dc1eb88aa301a23269e4f
http://www.redalyc.org/articulo.oa?id=49630072018
http://www.redalyc.org/articulo.oa?id=49630072018
Publikováno v:
Pattern Recognition Letters. 34:400-413
In this paper, we introduce two enhanced Fuzzy C-Means (FCM) clustering algorithms with spatial constraints for noisy color image segmentation. The Rank M-type L (RM-L) and L-estimators are used to obtain the sufficiently spatial information of the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caa3c545f3ed07d40ad9bc3fc30ea3eb
https://doi.org/10.1016/j.patrec.2012.10.004
https://doi.org/10.1016/j.patrec.2012.10.004