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Descripción
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| The Hough transform (HT) is a widely used method for line detection and recognition, due to its robustness. But its performance is strongly dependent on the applied segmentation technique. On the other hand, Fuzzy C-Means (FCM) has been widely used in image segmenta- tion because it has a good performance in a large class of images. How- ever, it is not good for noisy images, so that to overcome this weakness several modi?cations to FCM have been proposed, like Robust Fuzzy Possibilistic C-Means (RFPCM). In this paper, we propose to use the RFPCM algorithm for the segmentation of crops images in order to ap- ply the HT to detect lines in row crops for navigation purposes. The proposed method gives better results compared with techniques based on visible spectral-index or Speci?c threshold-based approaches. No hay ISBN | |
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Internacional
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No |
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Nombre congreso
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Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011) |
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Tipo de participación
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960 |
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Lugar del congreso
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San Cristobal de la laguna. Tenerife |
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Revisores
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Si |
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ISBN o ISSN
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0000000000000 |
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DOI
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Fecha inicio congreso
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07/11/2011 |
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Fecha fin congreso
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10/11/2011 |
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Desde la página
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1 |
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Hasta la página
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10 |
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Título de las actas
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Conference of the Spanish Association for Artificial Intelligence (CAEPIA) |