2024-03-28T20:43:31Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/974812014-05-30T12:44:27Zcom_10261_106com_10261_4col_10261_485
DIGITAL.CSIC
author
Reich, Simon
author
Abramov, Alexey
author
Papon, Jeremie
author
Wörgötter, Florentin
author
Dellen, Babette
2014-05-30T12:40:30Z
2014-05-30T12:40:30Z
2013
VISAPP 2013
http://hdl.handle.net/10261/97481
The 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.
eng
openAccess
Image segmentation
GPU
Ral-time
Edge-preserving
Texture filter
A novel real-time edge-preserving smoothing filter
comunicación de congreso
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URL
https://digital.csic.es/bitstream/10261/97481/1/novel%20real-time%20edge.pdf
File
MD5
2f24e840c649be2d8fcf9e1af611a0e7
5561440
application/octet-stream
novel real-time edge.pdf