HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Stochastic Multiscale Segmentation Constrained by Image Content

Abstract : We introduce a noise-tolerant segmentation algorithm efficient on 3D multiscale granular materials. The approach uses a graph-based version of the stochastic watershed and relies on the morphological granulometry of the image to achieve a content-driven unsupervised segmentation. We present results on both a virtual material and a real X-ray microtomographic image of solid propellant.
Document type :
Conference papers
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00577776
Contributor : Luc Gillibert Connect in order to contact the contributor
Submitted on : Thursday, March 17, 2011 - 2:11:13 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:12 PM
Long-term archiving on: : Thursday, November 8, 2012 - 12:05:15 PM

File

ISMMv10_gillibert.pdf
Files produced by the author(s)

Identifiers

Citation

Luc Gillibert, Dominique Jeulin. Stochastic Multiscale Segmentation Constrained by Image Content. 10th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, ISMM 2011, Jul 2011, Verbania-Intra, Italy. pp.132-142, ⟨10.1007/978-3-642-21569-8_12⟩. ⟨hal-00577776⟩

Share

Metrics

Record views

2689

Files downloads

160