Article
A Multilevel thresholding algorithm using electromagnetism optimization
Fecha
2006Autor
Guzman-Davalos, L.
Herrera, M.
Institución
Resumen
A new species of Gymnopilus (Agaricomycetideae) from tropical Mexico, G. cyanopalmicola, with probable hallucinogenic properties is described. This species is closely related to G. palmicola, being mainly distinguished by the bluing stipe when bruised. " 2006 by Begell House, Inc.",,,,,,"10.1615/IntJMedMushr.v8.i3.110",,,"http://hdl.handle.net/20.500.12104/39036","http://www.scopus.com/inward/record.url?eid=2-s2.0-33847052831&partnerID=40&md5=017d41c8a86ee8f68ac3ccfc3ce8df35",,,,,,"3",,"International Journal of Medicinal Mushrooms",,"289 293",,"8",,"Scopus",,,,,,"Gymnopilus; Hallucinogenic species; Higher Basidiomycetes; Tropical species",,,,,,"A new bluing, probably hallucinogenic species of Gymnopilus P. Karst. (Agaricomycetideae) from Mexico",,"Article"
"40791","123456789/35008","Mendizabal, E., Facultad de Ciencias Químicas, Universidad de Guadalajara, Boul. Marcelino García Barragan 1451, Guadalajara, Jal. 44430, Mexico; Castellanos-Ortega, J.R., Facultad de Ciencias Químicas, Universidad de Guadalajara, Boul. Marcelino García Barragan 1451, Guadalajara, Jal. 44430, Mexico; Puig, J.E., Facultad de Ciencias Químicas, Universidad de Guadalajara, Boul. Marcelino García Barragan 1451, Guadalajara, Jal. 44430, Mexico Mendizábal, E. M., Universidad de Guadalajara. Facultad de Ciencias Químicas",,"Mendizábal, E. M. Castellanos-Ortega, J.R. Puig, J.E.",,"1992",,"Here we present a method for selecting a polyvinyl alcohol as stabilizing agent for the suspension polymerization of styrene, butyl acrylate or butyl methacrylate without carrying out the actual polymerization reaction. The stability of the non-reacting suspension is used to predict the stability of the same system when it is reacting. Our results indicate that for the concentration range examined, polyvinyl alcohols of moderate degree of hydrolysis (88%) and relatively large molecular weight (> 70 000) are the best suspension agents. Our findings can be extrapolated to the suspension polymerization of other monomers. © 1992.",,,,,,"10.1016/0166-6622(92)80242-T",,,,"http://www.scopus.com/inward/record.url?eid=2-s2.0-0000900549&partnerID=40&md5=e66d4ec76eb0dc60887bf0773f11586a http://hdl.handle.net/20.500.12104/39012",,,,,,"03-abr",,"Colloids and Surfaces",,"209 217",,"63",,"Scopus WOS",,,,,,"Polyvinyl alcohol; protecting colloid; suspension agent; suspension polymerization; suspension stability.",,,,"A method for selecting a polyvinyl alcohol as stabilizer in suspension polymerization",,,,"Article",
"40803","123456789/35008","Cuevas, E., Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Av. Revolución 1500, Guadalajara, Jal, Mexico; Sención, F., Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Av. Revolución 1500, Guadalajara, Jal, Mexico; Zaldivar, D., Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Av. Revolución 1500, Guadalajara, Jal, Mexico; Pérez-Cisneros, M., Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Av. Revolución 1500, Guadalajara, Jal, Mexico; Sossa, H., Centro de Investigación en Computación-IPN, Av. Juan de Dios Bátiz, Esquina Con Miguel Othón de Mendizábal, Mexico City, C.P. 07738, Mexico",,"Cuevas, E. Sencion, F. Zaldivar, D. Perez-Cisneros, M. Sossa, H.",,"2012",,"This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute threshold selection for image segmentation. ABC is an evolutionary algorithm inspired by the intelligent behavior of honey-bees which has been successfully employed to solve complex optimization problems. In this approach, an image 1-D histogram is approximated through a Gaussian mixture model whose parameters are calculated by the ABC algorithm. In the model, each Gaussian function represents a pixel class and therefore a threshold point. Unlike the Expectation-Maximization (EM) algorithm, the ABC method shows fast convergence and low sensitivity to initial conditions. Remarkably, it also improves complex time-consuming computations commonly required by gradient-based methods. Experimental results over multiple images with different range of complexity validate the efficiency of the proposed technique with regard to segmentation accuracy, speed, and robustness. The paper also includes an experimental comparison to the EM and to one gradient-based method which ultimately demonstrates a better performance from the proposed algorithm.. © 2011 Springer Science+Business Media, LLC.",,,,,,"10.1007/s10489-011-0330-z",,,,"http://www.scopus.com/inward/record.url?eid=2-s2.0-84868381657&partnerID=40&md5=573cede0edf4058714f705562404a250 http://hdl.handle.net/20.500.12104/39024",,,,,,"3",,"Applied Intelligence",,"321 336",,"37",,"Scopus WOS",,,,,,"Artificial Bee Colony; Automatic thresholding; Image segmentation; Intelligent image processing",,,,"A multi-threshold segmentation approach based on artificial bee colony optimization",,,,"Article",
"40828","123456789/35008",,,"Arroyo Alejandre, Jesús",,"1999",,,,,,,,,,"0187-7674",,"http://hdl.handle.net/20.500.12104/39049",,"Español",,,,"64",,"Confines de relaciones internacionales y ciencia política",,"23-29",,"11",,"CLASE",,,,,,,,"Condiciones económicas",,"Crisis de ahorro y ahorro para las crisis",,,,"journalArticle",
"40785","123456789/35008",,"Romero-Vargas, S., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico; Ruiz-Sandoval, J.L., Department of Neurology and Neurosurgery, Hospital Civil de Guadalajara Fray Antonio Alcalde, Universidad de Guadalajara, Mexico; Sotomayor-González, A., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico; Revuelta-Gutiérrez, R., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico; Celis-López, M.A., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico; Gómez-Amador, J.L., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico; García-González, U., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico; López-Serna, R., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico; García-Navarro, V., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico; Mendez-Rosito, D., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico; Correa-Correa, V., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico; Gómez-Llata, S., Department of Neurosurgery, Instituto Nacional de Neurologia y Neurocirugia Manuel Velazco Suarez, Mexico City, Mexico",,"Romero-Vargas, S. Ruiz-Sandoval, J.L. Sotomayor-Gonzalez, A. Revuelta-Gutierrez, R. Celis-Lopez, M.A. Gomez-Amador, J.L. García-Gonzalez, U. Lopez-Serna, R. García-Navarro, V. Mendez-Rosito, D. Correa-Correa, V. Gomez-Llata, S.",,"2010",,"Induced deformation of the cranial vault is one form of permanent alteration of the body that has been performed by human beings from the beginning of history as a way of differentiating from others. These procedures have been observed in different cultures, but were particularly widespread in Mesoamerica. The authors examined and reviewed the historical and anthropological literature of intentional deformation practices in Mayan culture. The Mayans performed different types of cranial deformations and used different techniques and instruments to deform children's heads. The most remarkable morphological alteration is seen in the flattening of the frontal bone. Some archeological investigations link deformation types with specific periods. This article provides a glance at the cultural environment of the Mayans and demonstrates the heterogeneity of this interesting cultural phenomenon, which has changed over time.",,,,,,"10.3171/2010.9.FOCUS10200",,,"http://hdl.handle.net/20.500.12104/39006","http://www.scopus.com/inward/record.url?eid=2-s2.0-78650294544&partnerID=40&md5=ae74b8db007f52d90bd28b4abe57981e",,,,,,"6",,"Neurosurgical Focus",,"1 5",,"29",,"Scopus WOS",,,,,,"Archaeology; Artificial cranial deformation; Mayan culture",,,,,,"A look at Mayan artificial cranial deformation practices: Morphological and cultural aspects",,"Article"
"40802","123456789/35008",,"Oliva, D., Departamento de Ingeniería del Software e Inteligencia Artificial, Facultad Informética, Universidad Complutense, 28040 Madrid, Spain; Cuevas, E., Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Avenida Revolución 1500, Guadalajara, Jal, Mexico; Pajares, G., Departamento de Ingeniería del Software e Inteligencia Artificial, Facultad Informética, Universidad Complutense, 28040 Madrid, Spain; Zaldivar, D., Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Avenida Revolución 1500, Guadalajara, Jal, Mexico; Osuna, V., Centro de Investigación en Computación-IPN, Avenida Juan de Dios Batiz S/N, Mexico D.F., Mexico",,"Oliva, D. Cuevas, E. Pajares, G. Zaldivar, D. Osuna, V.",,"2014",,"Segmentation is one of the most important tasks in image processing. It consists of classifying the pixels into two or more groups depending on their intensity levels and a threshold value. The quality of the segmentation depends on the method applied to select the threshold. The use of the classical implementations for Multilevel Thresholding is computationally expensive since they exhaustively search the best values to optimize the objective function. Under such conditions, the use of optimization evolutionary approaches has been extended. The Electromagnetism-like Algorithm (EMO) is an evolutionary method which mimics the attraction-repulsion mechanism among charges to evolve the members of a population. Different to other algorithms, EMO exhibits interesting search capabilities whereas maintains a low computational overhead. In this paper, a Multilevel Thresholding (MT) algorithm based on the EMO is introduced. The approach combines the good search capabilities of EMO algorithm with objective functions proposed by the popular MT methods of Otsu and Kapur. The algorithm takes random samples from a feasible search space inside the image histogram. Such samples build each particle in the EMO context whereas its quality is evaluated considering the objective that is function employed by the Otsu[U+05F3]s or Kapur[U+05F3]s method. Guided by these objective values the set of candidate solutions are evolved through the EMO operators until an optimal solution is found. The approach generates a multilevel segmentation algorithm which can effectively identify the threshold values of a digital image in a reduced number of iterations. Experimental results show performance evidence of the implementation of EMO for digital image segmentation. " 2014 Elsevier B.V.