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Listar Científica por autor "Cervantes Canales, Jair"

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  • Analysis of medical opinions about the nonrealization of autopsies in a Mexican hospital using association rules and bayesian networks 
    RUBIO DELGADO, ELAYNE; Rodríguez Mazahua, Lisbeth; PALET GUZMAN, JOSE ANTONIO; Cervantes Canales, Jair; SANCHEZ CERVANTES, JOSE LUIS; PELAEZ CAMARENA, SILVESTRE GUSTAVO SERGIO; LOPEZ CHAU, ASDRUBAL (Hindawi, 2018-01-12)
    This research identifies the factors influencing the reduction of autopsies in a hospital of Veracruz. The study is based on the application of data mining techniques such as association rules and Bayesian networks in data ...
  • Análisis comparativo de las técnicas utilizadas en un sistema de reconocimiento de hojas de planta 
    Cervantes Canales, Jair; García Lamont, Farid; YEE RENDON, ARTURO; RUIZ CASTILLA, JOSE SERGIO; TALTEMPA MORENO, JESUS; DOMINGUEZ JALILI, LAURA YADIRA (Elsevier, 2017-03-01)
    El desarrollo de sistemas de identificación de hojas de plantas es un reto actual que comprende numerosas aplicaciones que van desde alimentación, medicina, industria y medio ambiente. En la literatura actual, se han ...
  • Automatic computing of number of clusters for color image segmentation employing fuzzy c-means by extracting chromaticity features of colors 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; YEE RENDON, ARTURO (Pattern Analysis and Applications, 2018-07-25)
    In this paper we introduce a method for color image segmentation by computing automatically the number of clusters the data, pixels, are divided into using fuzzy c-means. In several works the number of clusters is defined ...
  • Clasificación del lenguaje de señas mexicano con SVM generando datos artificiales 
    Cervantes Canales, Jair; García Lamont, Farid; ESPEJEL CABRERA, JOSUE; Trueba Espinosa, Adrián; HERNANDEZ SANTIAGO, JOSE (Vínculos, 2013-04-30)
    El desarrollo de herramientas que faciliten la comunicación de personas sordas es un reto de investigación actual muy importante. Una línea de investigación es el desarrollo de sistemas de visión con un gran poder de ...
  • Color image segmentation using saturated RGB colors and decoupling the intensity from the hue 
    García Lamont, Farid; Cervantes Canales, Jair; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Multimedia Tools and Applications, 2019-11-05)
    Although the RGB space is accepted to represent colors, it is not adequate for color processing. In related works the colors are usually mapped to other color spaces more suitable for color processing, but it may imply an ...
  • Complex identification of plants from leaves 
    Cervantes Canales, Jair; García Lamont, Farid; Rodríguez Mazahua, Lisbeth; ZARCO HIDALGO, ALFONSO; RUIZ CASTILLA, JOSE SERGIO (Springer, 2018-08-15)
    The automatic identification of plant leaves is a very important current topic of research in vision systems. Several researchers have tried to solve the problem of identification from plant leaves proposing various ...
  • Computing the number of groups for color image segmentation using competitive neural networks and fuzzy c-means 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Springer, 2016)
    Fuzzy C-means (FCM) is one of the most often techniques employed for color image segmentation; the drawback with this technique is the number of clusters the data, pixels’ colors, is grouped must be defined a priori. In ...
  • Contrast enhacenment of RGB color images by histogram equalization of color vectors' intensities 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Springer, 2018-08-15)
    The histogram equalization (HE) is a technique developed for image contrast enhancement of grayscale images. For RGB (Red, Green, Blue) color images, the HE is usually applied in the color channels separately; due to ...
  • Data selection based on decision tree for SVM classification on large data sets 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Rodríguez Mazahua, Lisbeth; RUIZ CASTILLA, JOSE SERGIO (Applied Soft Computing, 2015-08-18)
    Support Vector Machine (SVM) has important properties such as a strong mathematical background and a better generalization capability with respect to other classification methods. On the other hand, the major drawback of ...
  • Fisher’s decision tree 
    LOPEZ CHAU, ASDRUBAL; Cervantes Canales, Jair; LOPEZ GARCIA, LOURDES; García Lamont, Farid (Expert Systems with Applications, 2013-11-15)
    Univariate decision trees are classifiers currently used in many data mining applications. This classifier discovers partitions in the input space via hyperplanes that are orthogonal to the axes of attributes, producing a ...
  • HOMSI, a Home-Office model for the Software industry en the big cities of México 
    RUIZ CASTILLA, JOSE SERGIO; Cervantes Canales, Jair; AREVALO ZENTENO, MA. DOLORES; HERNANDEZ SANTIAGO, JOSE (Springer Nature Switzerland, 2018)
    The Software Industry in Mexico (SIM) is accentuated in large cities. This industry requires thousands of employees who must go to the offices daily. However, mobility in large cities is increasingly complicated by two ...
  • Human mimic color perception for segmentation of color images using a three-layered self-organizing map previously trained to classify color chromaticity 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL (Neural Computing and Applications, 2018-08-01)
    Most of the works addressing segmentation of color images use clustering-based methods; the drawback with such methods is that they require a priori knowledge of the amount of clusters, so the number of clusters is set ...
  • Redes neuronales convolucionales en la identificación de melanomas benignos y malignos 
    RANGEL CORTES, JUAN JOSE; RUIZ CASTILLA, JOSE SERGIO; García Lamont, Farid; Cervantes Canales, Jair (RISTI, 2019-10-30)
    El cáncer de piel más común es el de tipo melanoma, que ha aumentado en múltiples partes del mundo. Por lo anterior, se trabajó en la clasificación de melanomas para apoyar la posible detección de melanomas malignos. Se ...
  • Segmentation of images by color features: a survey 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Rodríguez Mazahua, Lisbeth (Neurocomputing, 2018-05-31)
    Image segmentation is an important stage for object recognition. Many methods have been proposed in the last few years for grayscale and color images. In this paper, we present a deep review of the state of the art on color ...
  • Systematic segmentation method based on PCA of image hue features for white blood cell counting 
    García Lamont, Farid; Alvarado, Matías; Cervantes Canales, Jair (PLOS ONE, 2021-12-31)
    Leukocyte (white blood cell, WBC) count is an essential factor that physicians use to diagnose infections and provide adequate treatment. Currently, WBC count is determined manually or semi-automatically, which often leads ...

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