Co-occurrence Matrix and fractal dimension for image segmentation
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| Tác giả: | |
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| Định dạng: | artículo original |
| Trạng thái: | Versión publicada |
| Ngày xuất bản: | 2012 |
| Miêu tả: | 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. |
| Quốc gia: | Portal de Revistas UCR |
| Tổ chức giáo dục: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Ngôn ngữ: | Español |
| OAI Identifier: | oai:archivo.portal.ucr.ac.cr:article/2104 |
| Truy cập trực tuyến: | https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/2104 |
| Từ khóa: | Image segmentation texture fractal dimension co-occurrence matrix Segmentación de Imágenes texturas dimensión fractal matriz de co-occurencia |