Co-occurrence Matrix and fractal dimension for image segmentation
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 fract...
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| Format: | Article |
| Language: | English |
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Universidad de Costa Rica
2012-03-01
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| Series: | Revista de Matemática: Teoría y Aplicaciones |
| Online Access: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/2104 |
| _version_ | 1797762115361046528 |
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| author | Beatriz S. Marón |
| author_facet | Beatriz S. Marón |
| author_sort | Beatriz S. Marón |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T19:23:44Z |
| format | Article |
| id | doaj.art-5020e5737faf487bb5661db2d7c7e9cb |
| institution | Directory Open Access Journal |
| issn | 2215-3373 |
| language | English |
| last_indexed | 2024-03-12T19:23:44Z |
| publishDate | 2012-03-01 |
| publisher | Universidad de Costa Rica |
| record_format | Article |
| series | Revista de Matemática: Teoría y Aplicaciones |
| spelling | doaj.art-5020e5737faf487bb5661db2d7c7e9cb2023-08-02T04:59:25ZengUniversidad de Costa RicaRevista de Matemática: Teoría y Aplicaciones2215-33732012-03-01191496310.15517/rmta.v19i1.21042002Co-occurrence Matrix and fractal dimension for image segmentationBeatriz S. Marón0Universidad Nacional del Sur, Departamento de MatemáticaOne 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.https://revistas.ucr.ac.cr/index.php/matematica/article/view/2104 |
| spellingShingle | Beatriz S. Marón Co-occurrence Matrix and fractal dimension for image segmentation Revista de Matemática: Teoría y Aplicaciones |
| title | Co-occurrence Matrix and fractal dimension for image segmentation |
| title_full | Co-occurrence Matrix and fractal dimension for image segmentation |
| title_fullStr | Co-occurrence Matrix and fractal dimension for image segmentation |
| title_full_unstemmed | Co-occurrence Matrix and fractal dimension for image segmentation |
| title_short | Co-occurrence Matrix and fractal dimension for image segmentation |
| title_sort | co occurrence matrix and fractal dimension for image segmentation |
| url | https://revistas.ucr.ac.cr/index.php/matematica/article/view/2104 |
| work_keys_str_mv | AT beatrizsmaron cooccurrencematrixandfractaldimensionforimagesegmentation |