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Salient object detection using a fuzzy theoretic approach

Published: 16 December 2012 Publication History

Abstract

Color is the most dominant feature used by the human brain to perceive an image region to be salient. Since size, shape, location and colors of salient objects vary widely, a fuzzy rule based system is proposed in this paper which uses color proximity, color spread, connected components and presence of a face as linguistic variables. These rules are learned using a genetic algorithm. The colorspace used is the CIELab colorspace which closely conforms with human perception of colors. A publicly available image dataset is used for training and testing the system. Comparisons with existing state-of-the-art methods in terms of precision, recall and F-Measure have been presented.

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Cited By

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  • (2017)An evolutionary learning based fuzzy theoretic approach for salient object detectionThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-016-1216-133:5(665-685)Online publication date: 1-May-2017
  • (2015)A novel temporal-spatial variable scale algorithm for detecting multiple moving objectsIEEE Transactions on Aerospace and Electronic Systems10.1109/TAES.2014.12084451:1(627-641)Online publication date: Jan-2015

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cover image ACM Other conferences
ICVGIP '12: Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
December 2012
633 pages
ISBN:9781450316606
DOI:10.1145/2425333
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]

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Association for Computing Machinery

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Publication History

Published: 16 December 2012

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Author Tags

  1. chromosomes
  2. fuzzy rules
  3. genetic algorithm
  4. salient region

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ICVGIP '12

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Overall Acceptance Rate 95 of 286 submissions, 33%

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Cited By

View all
  • (2017)An evolutionary learning based fuzzy theoretic approach for salient object detectionThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-016-1216-133:5(665-685)Online publication date: 1-May-2017
  • (2015)A novel temporal-spatial variable scale algorithm for detecting multiple moving objectsIEEE Transactions on Aerospace and Electronic Systems10.1109/TAES.2014.12084451:1(627-641)Online publication date: Jan-2015

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