Author: Gonzalo Navarro

Lattice Algebra Approach to Color Image Segmentation

GONZALO JORGE URCID SERRANO JUAN CARLOS VALDIVIEZO NAVARRO (2012)

This manuscript describes a new technique for segmenting color images in different color spaces based on geometrical properties of lattice auto-associative memories. Lattice associative memories are artificial neural networks able to store a finite set X of n-dimensional vectors and recall them when a noisy or incomplete input vector is presented. The canonical lattice auto-associative memories include the min memory W𝚡𝚡 and the max memory M𝚡𝚡, both defined as square matrices of size n × n. The column vectors of W𝚡𝚡 and M𝚡𝚡, scaled additively by the components of the minimum and maximum vector bounds of X, are used to determine a set of extreme points whose convex hull encloses X. Specifically, since color images form subsets of a finite geometrical space, the scaled column vectors of each memory will correspond to saturated color pixels. Thus, maximal tetrahedrons do exist that enclose proper subsets of pixels in X and such that other color pixels are considered as linear mixtures of extreme points determined from the scaled versions of W𝚡𝚡 and M𝚡𝚡. We provide illustrative examples to demonstrate the effectiveness of our method including comparisons with alternative segmentation methods from the literature as well as color separation results in four different color spaces.

Article

Color image segmentation Color spaces Convex sets Lattice auto-associative memories Linear mixing model Pixel based segmentation Unsupervised clustering CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ÓPTICA ÓPTICA

Lattice Algebra Approach to Color Image Segmentation

GONZALO JORGE URCID SERRANO JUAN CARLOS VALDIVIEZO NAVARRO (2011)

This manuscript describes a new technique for segmenting color images in different color spaces based on geometrical properties of lattice auto-associative memories. Lattice associative memories are artificial neural networks able to store a finite set X of n-dimensional vectors and recall them when a noisy or incomplete input vector is presented. The canonical lattice auto-associative memories include the min memory Wₓₓ and the max memory Mₓₓ, both defined as square matrices of size n × n. The column vectors of Wₓₓ and Mₓₓ, scaled additively by the components of the minimum and maximum vector bounds of X, are used to determine a set of extreme points whose convex hull encloses X. Specifically, since color images form subsets of a finite geometrical space, the scaled column vectors of each memory will correspond to saturated color pixels. Thus, maximal tetrahedrons do exist that enclose proper subsets of pixels in X and such that other color pixels are considered as linear mixtures of extreme points determined from the scaled versions of Wₓₓ and Mₓₓ. We provide illustrative examples to demonstrate the effectiveness of our method including comparisons with alternative segmentation methods from the literature as well as color separation results in four different color spaces.

Article

Color image segmentation Color spaces Convex sets Lattice auto-associative memories Linear mixing model Pixel based segmentation Unsupervised clustering CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA ÓPTICA ÓPTICA

Near neighbor searching with K nearest references

EDGAR LEONEL CHAVEZ GONZALEZ Mario Graff Gonzalo Navarro ERIC SADIT TELLEZ AVILA (2015)

Proximity searching is the problem of retrieving,from agiven data base,those objects closest to aquery.To avoid exhaustive searching, data structures called indexes are builton the data base prior to serving queries.The curse of dimensionality is awell-known problem

for indexes: in spaces with sufficiently concentrated distance histograms,no index out performs anexhaustive scan of the data base.

Article

Tecnologías de la Información y Comunicación INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS OTRAS ESPECIALIDADES TECNOLÓGICAS OTRAS

Influence of 1D and 2D carbon fillers and their functionalisation on crystallisation and thermomechanical properties of injection moulded nylon 6,6 nanocomposites

FABIOLA NAVARRO PARDO Ana L. Martinez_Hernandez Víctor Manuel Castaño Meneses FRANCISCO JAVIER MEDELLIN RODRIGUEZ GONZALO MARTINEZ BARRERA CARLOS VELASCO SANTOS (2014)

Carbon nanotubes (CNTs) and graphene were used as reinforcing fillers in nylon 6,6 in order to obtain nanocomposites by using an injection moulding process. The two differently structured nanofillers were used in their pristine or reduced form, after oxidation treatment and after amino functionalisation.Three low nanofiller contents were employed. Crystallisation behaviour and perfection of nylon 6,6 crystals were determined by differential scanning calorimetry and wide angle X-ray diffraction, respectively. Crystallinity was slightly enhanced in most samples as the content of the nanofillers was increased. The dimensionality of the materials was found to provide different interfaces and therefore different features in the nylon 6,6 crystal growth resulting in improved crystal perfection. Dynamical, mechanical analysis showed the maximum increases provided by the two nanostructures correspond to the addition of 0.1 wt.% amino functionalised CNTs, enhancing in 30% the storage modulus and the incorporation of 0.5 wt.% of graphene oxide caused an increase of 44% in this property. The latter also provided better thermal stability when compared to pure nylon 6,6 under inert conditions. The superior properties of graphene nanocomposites were attributed to the larger surface area of the two-dimensional graphene compared to the one-dimensional CNTs.

Article

Carbon crystallisation thermomechanical properties nylon 6,6 nanocomposites BIOLOGÍA Y QUÍMICA

The influence of texture on the reversible elastocaloric effect of a polycrystalline Ni50Mn32In16Cr2 alloy

Fernando Hernández Navarro JUAN PABLO RAMON CAMARILLO GARCIA CHRISTIAN OMAR AGUILAR ORTIZ Horacio Flores Zúñiga David Ríos Jara Jose Gonzalo Gonzalez Reyes Pablo Álvarez Alonso (2018)

"We have studied the correlation between the elastocaloric effect and the crystallographic direction where a uniaxial stress is applied in a textured polycrystalline Ni-Mn-In-Cr ferromagnetic shape memory alloy; this alloy displays martensitic transformation around room temperature and presents an L2(1) cubic structure in the austenite phase. The texture in the material was induced by simple arc melting synthesis; using inverse pole figures, a favored grain growth was shown in the direction [001] perpendicular to the cooled surface. The elastocaloric effect was determined by direct measurements of the adiabatic temperature change (Delta T-ad(me)), while compressive stress was applied and released; hereby, it has been shown that it is possible to exploit the columnar growth texture in order to obtain a large and reversible elastocaloric effect. The reversible elastocaloric response was measured between 280 and 310K by applying moderate stresses of 50, 75, and 100 MPa in the [001], [111], and [011] directions. A strong interrelation was found in the cyclic Delta T-ad(me) values of -3.9, -2.0, and -1.3K after unloading a compressive stress of 100 MPa applied mainly in the [001], [111], and [011] directions, respectively."

Article

Shape-memory alloys Transformation CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA FÍSICA

Estado, violencias y ciudadanía en México. Realidad y teoría, entre lo micro y lo macro

GONZALO ALEJANDRE RAMOS JAVIER PINEDA MUÑOZ YASMIN HERNANDEZ ROMERO MIGUEL ANGEL MATA SALAZAR VICTOR MANUEL ALVARADO GARCIA MAYRA ERENDIRA NAVA BECERRA Elvira Ivone González Jaimes GUSTAVO ALVAREZ VAZQUEZ FRANCISCO JAVIER NAVARRO CAMPOS Jorge Salinas (2019)

Este libro, en general, es un intento por analizar tres categorías: el Estado, la violencia y la ciudadanía, esperamos contribuir desde los particulares enfoques a la reflexión de un tema muy vigente y lastimoso, al cual ha arribado no sólo México en abstracto, sino también, y principalmente, su realidad institucional, la cual se expresa como cosa cotidiana del mundo de principios del siglo XXI en el que vivimos.

Proyecto realizado con financiamiento de la Secretaría de Educación Pública-Subsecretaría de Educación Superior-Dirección General de Educación Superior Universitaria. Número del convenio con la SEP: 2018-15-001-017.

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