En el presente trabajo, se presenta el proceso de modelización de la serie IPC, bajo una perspectiva de parametrización poco habitual en el área econométrica, en Espacio de Estado Balanceado. En él se aplican técnicas algebraicas, como por ejemplo la descomposición canónica singular, y...

We derive Gabor feature matrices that are used to recognize color texture independent of illumination changes. The feature depends on Gabor energy feature in which we derive a multi-band Gabor energy feature matrix. We also prove that two Gabor energy feature matrices such that represent two...

In this paper, Focus is on texture as primary feature. Shape and spatial information were secondary features. Texture features derived from nine grid sizes of independent and different Gabor filter banks were incorporated into the CBIR system by taking advantage of the fact that each grid size...

We present a second order image decomposition model to perform denoising and texture extraction. We look for the decomposition f=u+v+w where u is a first order term, v a second order term and w the (0 order) remainder term. For highly textured images the model gives a two-scale texture...

The aim of this paper is to explore the application of detrended fluctuation analysis (DFA) to study roughness features of images. Unidimensional sequences at different image orientations are extracted and their average scaling exponent is estimated. In this form, the existence of anisotropies...

Texture is an important visual attribute used to describe images. There are many methods available for texture analysis. However, they do not capture the detail richness of the image surface. In this paper, we propose a new method to describe textures using the artificial crawler model. This...

Image enhancement is used to correct contrast deficiencies and to improve the quality of an image. It is essential and critical to extracting features and segmenting images. This paper presents a novel contrast enhancement algorithm based on newly defined texture histogram and fuzzy entropy with...

The autoregressive method of spectral analysis is widely used in diverse areas for its solid theoretical foundation. Various aspects of its statistical performance have been investigated. People assume the times series xn to be samples from a zero-mean distribution whose variance remains...

On-site efficiency determination of induction motor is essential in industrial plants for saving the energy consumption. This paper presents a new application of particle swarm optimization (PSO) approach for field efficiency evaluation of induction motor based on a modified induction motor...

This paper assesses the steady-state performance of cascaded IMs (induction motors) operating under voltage unbalance. Small sizes induction motors are connected in cascade instead of one big size induction motor to improve the electromagnetic system and to make the energy conversion process...