Automatic Image Segmentation Optimized by Bilateral Filtering
| Autor: | Sanchez, Javier, Martínez Izquierdo, María Estíbaliz, Arquero Hidalgo, Águeda, Renza Torres, Diego |
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| Rok vydání: | 2010 |
| Předmět: | |
| Zdroj: | Proceedings of the 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 | 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 | 08/11/2010-11/11/2010 | Sao Paulo, Brasil Archivo Digital UPM Universidad Politécnica de Madrid |
| Popis: | The object-based methodology is one of the most commonly used strategies for processing high spatial resolution images. A prerequisite to object-based image analysis is image segmentation, which is normally defined as the subdivision of an image into separated regions. This study proposes a new image segmentation methodology based on a self-calibrating multi-band region growing approach. Two multispectral aerial images were used in this study. The unsupervised image segmentation approach begins with a first step based on a bidirectional filtering, in order to eliminate noise, smooth the initial image and preserve edges. The results are compared with ones obtained from Definiens Developper software. |
| Databáze: | OpenAIRE |
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