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Título

A novel real-time edge-preserving smoothing filter

Autor Reich, Simon; Abramov, Alexey; Papon, Jeremie; Wörgötter, Florentin; Dellen, Babette
Palabras clave Image segmentation
GPU
Ral-time
Edge-preserving
Texture filter
Fecha de publicación 2013
Citación VISAPP 2013
ResumenThe segmentation of textured and noisy areas in images is a very challenging task due to the large variety of objects and materials in natural environments, which cannot be solved by a single similarity measure. In this paper, we address this problem by proposing a novel edge-preserving texture filter, which smudges the color values inside uniformly textured areas, thus making the processed image more workable for color-based image segmentation. Due to the highly parallel structure of the method, the implementation on a GPU runs in real-time, allowing us to process standard images within tens of milliseconds. By preprocessing images with this novel filter before applying a recent real-time color-based image segmentation method, we obtain significant improvements in performance for images from the Berkeley dataset, outperforming an alternative version using a standard bilateral filter for preprocessing. We further show that our combined approach leads to better segmentations in terms of a standard performance measure than graph-based and mean-shift segmentation for the Berkeley image dataset.
Descripción Presentado a la 8th International Conference on Computer Vision Theory and Applications celebrada en Barcelona del 21 al 24 de febrero de 2013.
Versión del editorhttp://www.visapp.visigrapp.org/?y=2013
URI http://hdl.handle.net/10261/97481
Aparece en las colecciones: (IRII) Comunicaciones congresos
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