Co-occurrence Matrix and fractal dimension for image segmentation
Guardado en:
| Autor: | |
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| Formato: | artículo original |
| Estado: | Versión publicada |
| Fecha de Publicación: | 2012 |
| Descripción: | 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 result of the segmentation can be shown, are used to illustrate the use of each method and a comparative study of each operator is made. |
| País: | Portal de Revistas UCR |
| Institución: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Lenguaje: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/2104 |
| Acceso en línea: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/2104 |
| Palabra clave: | Image segmentation texture fractal dimension co-occurrence matrix Segmentación de Imágenes texturas dimensión fractal matriz de co-occurencia |