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Multidirectional Scanning Model, MUSCLE, to Vectorize Raster Images with Straight Lines

This paper presents a new model, MUSCLE (Multidirectional Scanning for Line Extraction), for automatic vectorization of raster images with straight lines. The algorithm of the model implements the line thinning and the simple neighborhood methods to perform vectorization. The model allows users to d...

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Detalles Bibliográficos
Autores principales: Karas, Ismail Rakip, Bayram, Bulent, Batuk, Fatmagul, Akay, Abdullah Emin, Baz, Ibrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673439/
https://www.ncbi.nlm.nih.gov/pubmed/27879843
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author Karas, Ismail Rakip
Bayram, Bulent
Batuk, Fatmagul
Akay, Abdullah Emin
Baz, Ibrahim
author_facet Karas, Ismail Rakip
Bayram, Bulent
Batuk, Fatmagul
Akay, Abdullah Emin
Baz, Ibrahim
author_sort Karas, Ismail Rakip
collection PubMed
description This paper presents a new model, MUSCLE (Multidirectional Scanning for Line Extraction), for automatic vectorization of raster images with straight lines. The algorithm of the model implements the line thinning and the simple neighborhood methods to perform vectorization. The model allows users to define specified criteria which are crucial for acquiring the vectorization process. In this model, various raster images can be vectorized such as township plans, maps, architectural drawings, and machine plans. The algorithm of the model was developed by implementing an appropriate computer programming and tested on a basic application. Results, verified by using two well known vectorization programs (WinTopo and Scan2CAD), indicated that the model can successfully vectorize the specified raster data quickly and accurately.
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spelling pubmed-36734392013-07-02 Multidirectional Scanning Model, MUSCLE, to Vectorize Raster Images with Straight Lines Karas, Ismail Rakip Bayram, Bulent Batuk, Fatmagul Akay, Abdullah Emin Baz, Ibrahim Sensors (Basel) Full Research Paper This paper presents a new model, MUSCLE (Multidirectional Scanning for Line Extraction), for automatic vectorization of raster images with straight lines. The algorithm of the model implements the line thinning and the simple neighborhood methods to perform vectorization. The model allows users to define specified criteria which are crucial for acquiring the vectorization process. In this model, various raster images can be vectorized such as township plans, maps, architectural drawings, and machine plans. The algorithm of the model was developed by implementing an appropriate computer programming and tested on a basic application. Results, verified by using two well known vectorization programs (WinTopo and Scan2CAD), indicated that the model can successfully vectorize the specified raster data quickly and accurately. Molecular Diversity Preservation International (MDPI) 2008-04-15 /pmc/articles/PMC3673439/ /pubmed/27879843 Text en © 2008 by MDPI (http://www.mdpi.org). Reproduction is permitted for noncommercial purposes.
spellingShingle Full Research Paper
Karas, Ismail Rakip
Bayram, Bulent
Batuk, Fatmagul
Akay, Abdullah Emin
Baz, Ibrahim
Multidirectional Scanning Model, MUSCLE, to Vectorize Raster Images with Straight Lines
title Multidirectional Scanning Model, MUSCLE, to Vectorize Raster Images with Straight Lines
title_full Multidirectional Scanning Model, MUSCLE, to Vectorize Raster Images with Straight Lines
title_fullStr Multidirectional Scanning Model, MUSCLE, to Vectorize Raster Images with Straight Lines
title_full_unstemmed Multidirectional Scanning Model, MUSCLE, to Vectorize Raster Images with Straight Lines
title_short Multidirectional Scanning Model, MUSCLE, to Vectorize Raster Images with Straight Lines
title_sort multidirectional scanning model, muscle, to vectorize raster images with straight lines
topic Full Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673439/
https://www.ncbi.nlm.nih.gov/pubmed/27879843
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