Juvenal Rodríguez-Reséndiz

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A New Adaptive Self-Tuning Fourier Coefficients Algorithm for Periodic Torque Ripple Minimization in Permanent Magnet Synchronous Motors (PMSM) Torque ripple occurs in Permanent Magnet Synchronous Motors (PMSMs) due to the non-sinusoidal flux density distribution around the air-gap and variable magnetic reluctance of the air-gap due to the stator slots(More)
In this article, several advanced connected transformations from mathematical morphology for computational neuroanat-omy applications are developed. In particular, brain is separated from the skull in MRI T 1 using morphological connected openings. The use of connected transformations allow the preservation of regions, without introduce new information. As(More)
Photothermal techniques allow the detection of characteristics of material without invading it. Researchers have developed hardware for some specific Phase and Amplitude detection (Lock-In Function) applications, eliminating space and unnecessary electronic functions, among others. This work shows the development of a Digital Lock-In Amplifier based on a(More)
In this paper a methodology to restore gray scale images with pixels polluted by random impulsive noise is presented. Noise is discovered using a criterion based on the white top-hat by reconstruction. Pixels detected as corrupted are restored using an iterative morphological algorithm built with extensive and antiex-tensive morphological transformations.(More)
  • Instituto Politécnico, Nacional México Mendiola-Santibañez, Jorge Domingo, Arias-Estrada, Miguel Octavio, Santillán-Méndez +13 others
  • 2015
In this paper a methodology to restore gray scale images with pixels polluted by random impulsive noise is presented. Noise is discovered using a criterion based on the white top-hat by reconstruction. Pixels detected as corrupted are restored using an iterative morphological algorithm built with extensive and antiex-tensive morphological transformations.(More)
  • Jorge Domingo, Mendiola-Santibañez Martín, Gallegos-Duarte Miguel, Octavio Arias-Estrada, Marcos Israel, Juvenal Santillán-Méndez +10 others
  • 2014
A composition of the viscous opening and the lower leveling is introduced to extract brain in magnetic resonance imaging T1. The innovative transformation disconnects chained components and has better control on the reconstruction process of the marker inside of the original image. However, the sequential operator requires setting several parameters, making(More)