Curves Extraction in Images
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2015
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| _version_ | 1876485420182667264 |
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| author | Zoraida Martínez |
| author_facet | Zoraida Martínez |
| contents | Curves Extraction in Images Zoraida Martínez Física, Astronomía y Matemáticas Energy Median Maximum Curvature Detection We present a methodology for extracting processes of curves in images, using a statistical summary of the directional information given in measures of location, curvature and direction associated with the pixels that compose each curve. The main purpose is to obtain measures that serve as input for the reconstruction, in vector format, of a process of curves which are of interest, so that the extracted curves can be easily stored and reconstructed based on few parameters conserving representative information of its curva- ture at each pixel. As starting point, the directional information obtained from a methodology of consistent curves detection is used, which includes the decomposition of the image in a directional domain contained in R 2 k , with k 2 N . Basic summary measures criteria are proposed for this type of data and the application to four cases of satellite images for extraction of sections of rivers in these images are shown. 2015 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89938627016 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.38 |
| format | Artículo científico |
| id | redalyc_89938627016 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Curves Extraction in Images Zoraida Martínez Física, Astronomía y Matemáticas Energy Median Maximum Curvature Detection Curves Extraction in Images Zoraida Martínez Física, Astronomía y Matemáticas Energy Median Maximum Curvature Detection We present a methodology for extracting processes of curves in images, using a statistical summary of the directional information given in measures of location, curvature and direction associated with the pixels that compose each curve. The main purpose is to obtain measures that serve as input for the reconstruction, in vector format, of a process of curves which are of interest, so that the extracted curves can be easily stored and reconstructed based on few parameters conserving representative information of its curva- ture at each pixel. As starting point, the directional information obtained from a methodology of consistent curves detection is used, which includes the decomposition of the image in a directional domain contained in R 2 k , with k 2 N . Basic summary measures criteria are proposed for this type of data and the application to four cases of satellite images for extraction of sections of rivers in these images are shown. 2015 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89938627016 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.38 |
| title | Curves Extraction in Images |
| topic | Física, Astronomía y Matemáticas Energy Median Maximum Curvature Detection |
| url | https://www.redalyc.org/articulo.oa?id=89938627016 |