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- Publisher Website: 10.4208/cicp.061212.111013a
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Article: Multi-phase texture segmentation using gabor features histograms based on wasserstein distance
Title | Multi-phase texture segmentation using gabor features histograms based on wasserstein distance |
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Authors | |
Keywords | Mumford-Shah model Wasserstein distance Gabor filter Multi-phase texture segmentation |
Issue Date | 2014 |
Citation | Communications in Computational Physics, 2014, v. 15, n. 5, p. 1480-1500 How to Cite? |
Abstract | We present a multi-phase image segmentation method based on the histogram of the Gabor feature space, which consists of a set of Gabor-filter responses with various orientations, scales and frequencies. Our model replaces the error function term in the original fuzzy region competition model with squared 2-Wasserstein distance function, which is a metric to measure the distance of two histograms. The energy functional is minimized by alternative minimization method and the existence of closed-form solutions is guaranteed when the exponent of the fuzzy membership term being 1 or 2. We test our model on both simple synthetic texture images and complex natural images with two or more phases. Experimental results are shown and compared to other recent results. © 2014 Global-Science Press. |
Persistent Identifier | http://hdl.handle.net/10722/276680 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 1.176 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Qiao, Motong | - |
dc.contributor.author | Wang, Wei | - |
dc.contributor.author | Ng, Michael | - |
dc.date.accessioned | 2019-09-18T08:34:20Z | - |
dc.date.available | 2019-09-18T08:34:20Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Communications in Computational Physics, 2014, v. 15, n. 5, p. 1480-1500 | - |
dc.identifier.issn | 1815-2406 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276680 | - |
dc.description.abstract | We present a multi-phase image segmentation method based on the histogram of the Gabor feature space, which consists of a set of Gabor-filter responses with various orientations, scales and frequencies. Our model replaces the error function term in the original fuzzy region competition model with squared 2-Wasserstein distance function, which is a metric to measure the distance of two histograms. The energy functional is minimized by alternative minimization method and the existence of closed-form solutions is guaranteed when the exponent of the fuzzy membership term being 1 or 2. We test our model on both simple synthetic texture images and complex natural images with two or more phases. Experimental results are shown and compared to other recent results. © 2014 Global-Science Press. | - |
dc.language | eng | - |
dc.relation.ispartof | Communications in Computational Physics | - |
dc.subject | Mumford-Shah model | - |
dc.subject | Wasserstein distance | - |
dc.subject | Gabor filter | - |
dc.subject | Multi-phase texture segmentation | - |
dc.title | Multi-phase texture segmentation using gabor features histograms based on wasserstein distance | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.4208/cicp.061212.111013a | - |
dc.identifier.scopus | eid_2-s2.0-84896524209 | - |
dc.identifier.volume | 15 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 1480 | - |
dc.identifier.epage | 1500 | - |
dc.identifier.eissn | 1991-7120 | - |
dc.identifier.isi | WOS:000340782900011 | - |
dc.identifier.issnl | 1815-2406 | - |