Consensus region merging for image segmentation

Frank Nielsen; Richard Nock

doi:10.1109/ACPR.2013.142

Consensus region merging for image segmentation

Frank Nielsen, Richard Nock

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

Abstract

Image segmentation is a fundamental task of image processing that consists in partitioning the image by grouping pixels into homogeneous regions. We propose a novel segmentation algorithm that consists in combining many runs of a simple and fast randomized segmentation algorithm. Our algorithm also yields a soft-edge closed contour detector. We describe the theoretical probabilistic framework and report on our implementation that experimentally corroborates that performance increases with the number of runs.

Original language	English
Pages	325-329
Number of pages	5
DOIs	https://doi.org/10.1109/ACPR.2013.142
Publication status	Published - 2013
Externally published	Yes
Event	2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa, Japan Duration: 5 Nov 2013 → 8 Nov 2013

Conference

Conference	2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
Country/Territory	Japan
City	Naha, Okinawa
Period	5/11/13 → 8/11/13

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10.1109/ACPR.2013.142

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title = "Consensus region merging for image segmentation",

abstract = "Image segmentation is a fundamental task of image processing that consists in partitioning the image by grouping pixels into homogeneous regions. We propose a novel segmentation algorithm that consists in combining many runs of a simple and fast randomized segmentation algorithm. Our algorithm also yields a soft-edge closed contour detector. We describe the theoretical probabilistic framework and report on our implementation that experimentally corroborates that performance increases with the number of runs.",

keywords = "Image segmentation, SRM, Statistical analysis",

author = "Frank Nielsen and Richard Nock",

year = "2013",

doi = "10.1109/ACPR.2013.142",

language = "English",

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note = "2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 ; Conference date: 05-11-2013 Through 08-11-2013",

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AU - Nielsen, Frank

AU - Nock, Richard

PY - 2013

Y1 - 2013

N2 - Image segmentation is a fundamental task of image processing that consists in partitioning the image by grouping pixels into homogeneous regions. We propose a novel segmentation algorithm that consists in combining many runs of a simple and fast randomized segmentation algorithm. Our algorithm also yields a soft-edge closed contour detector. We describe the theoretical probabilistic framework and report on our implementation that experimentally corroborates that performance increases with the number of runs.

AB - Image segmentation is a fundamental task of image processing that consists in partitioning the image by grouping pixels into homogeneous regions. We propose a novel segmentation algorithm that consists in combining many runs of a simple and fast randomized segmentation algorithm. Our algorithm also yields a soft-edge closed contour detector. We describe the theoretical probabilistic framework and report on our implementation that experimentally corroborates that performance increases with the number of runs.

KW - Image segmentation

KW - SRM

KW - Statistical analysis

UR - http://www.scopus.com/inward/record.url?scp=84899105353&partnerID=8YFLogxK

U2 - 10.1109/ACPR.2013.142

DO - 10.1109/ACPR.2013.142

M3 - Paper

AN - SCOPUS:84899105353

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T2 - 2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013

Y2 - 5 November 2013 through 8 November 2013

ER -

Consensus region merging for image segmentation

Abstract

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