SciELO - Scientific Electronic Library Online

 
vol.19 número1Algoritmo conjunto Kalman-Haar aplicado al procesamiento de señalesRegularidad local del mercado de índices para la crisis económica de 2008 índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Revista de Matemática Teoría y Aplicaciones

versión impresa ISSN 1409-2433

Resumen

MARRON, Beatriz S. Co-occurrence matrix and fractal dimension for image segmentation. Rev. Mat [online]. 2012, vol.19, n.1, pp.49-63. ISSN 1409-2433.

One of the most important tasks in image processing problem and machine vision is object recognition, and the success of many proposed methods relies on a suitable choice of algorithm for the segmentation of an image. This paper focuses on how to apply texture operators based on the concept of fractal dimension and cooccurence matrix, to the problem of object recognition and a new method based on fractal dimension is introduced. Several images, in which the re- sult of the segmentation can be shown, are used to illustrate the use of each method and a comparative study of each operator is made

Palabras clave : Image segmentation; texture; fractal dimension; co-occurrence matrix.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons