skip to main content
10.1145/1141277.1141287acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
Article

Cooperative active contour model and its application to remote sensing

Published: 23 April 2006 Publication History

Abstract

We propose a decentralized cooperative processing applied to the active contour model "Snake", which applies multiple Snakes to a single region, to improve its detection accuracy. We verify the effectiveness of our proposal in the cases of Multi-Snakes with different parameter sets and Multi-Snakes applied to RGB-decomposed images. We then apply it to multi-spectral remote sensing, and show that Multi-Snakes detected the boundary with enough accuracy.

References

[1]
T. Wada, Y. Nomura and T. Matsuyama: "Cooperative Distributed Image Segmentation", IPSJ Journal, Vol.36, No.4, pp.879--891, April (1995).
[2]
S. Zhu, A. Yuille: "Region competition: Unifying snakes, region growing, and bayes/MDL for multiband inage segmentation", IEEE Trans. Pattern Anal. & Mach Intel., Vol.18, No.9, pp.884--900 (1996).
[3]
Y. Matsuzawa, T. Abe: "Region Extraction Using Competition of Multiple Active Contour Models", IEICE Transactions (D-II), Vol. J83-D-II, No.4, pp.1100--1109, April (2000).

Cited By

View all
  • (2009)Layered Cooperation of Macro Agents and Micro Agents in Cooperative Active Contour ModelAgent Computing and Multi-Agent Systems10.1007/978-3-642-01639-4_8(86-97)Online publication date: 21-Apr-2009

Index Terms

  1. Cooperative active contour model and its application to remote sensing

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      SAC '06: Proceedings of the 2006 ACM symposium on Applied computing
      April 2006
      1967 pages
      ISBN:1595931082
      DOI:10.1145/1141277
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 23 April 2006

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. active contour model: snake
      2. boundary detection
      3. decentralized cooperative processing
      4. remote sensing

      Qualifiers

      • Article

      Conference

      SAC06
      Sponsor:

      Acceptance Rates

      Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

      Upcoming Conference

      SAC '25
      The 40th ACM/SIGAPP Symposium on Applied Computing
      March 31 - April 4, 2025
      Catania , Italy

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)0
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 07 Mar 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2009)Layered Cooperation of Macro Agents and Micro Agents in Cooperative Active Contour ModelAgent Computing and Multi-Agent Systems10.1007/978-3-642-01639-4_8(86-97)Online publication date: 21-Apr-2009

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media