A ground-truth fusion method for image segmentation evaluation

Sree Ramya S.P. Malladi, Sundaresh Ram, Jeffrey J Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Image segmentation evaluation is popularly categorized into two different approaches based on whether the evaluation uses a human expert's manual segmentation as a reference or not. When comparing automated segmentation against manual segmentation, also referred to as the ground-truth segmentation, multiple ground-truths are usually available. Much research has been done on analysis of segmentation algorithms and performance metrics, but very little study has been done on analyzing techniques for ground-truth fusion from multiple ground-truth segmentations. We propose a hybrid ground-truth fusion technique for image segmentation evaluation and compare it with other existing ground-truth fusion methods on a data set having multiple ground-truths at various coarseness levels. Qualitative and quantitative results show that the proposed method provides improved segmentation evaluation performance.

Original languageEnglish (US)
Title of host publication2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages137-140
Number of pages4
Volume2018-April
ISBN (Electronic)9781538665688
DOIs
StatePublished - Sep 21 2018
Event2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Las Vegas, United States
Duration: Apr 8 2018Apr 10 2018

Other

Other2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018
CountryUnited States
CityLas Vegas
Period4/8/184/10/18

Fingerprint

Image segmentation
Fusion reactions

Keywords

  • evaluation
  • fusion
  • Ground-truth
  • segmentation

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Malladi, S. R. S. P., Ram, S., & Rodriguez, J. J. (2018). A ground-truth fusion method for image segmentation evaluation. In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings (Vol. 2018-April, pp. 137-140). [8470317] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSIAI.2018.8470317

A ground-truth fusion method for image segmentation evaluation. / Malladi, Sree Ramya S.P.; Ram, Sundaresh; Rodriguez, Jeffrey J.

2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. p. 137-140 8470317.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Malladi, SRSP, Ram, S & Rodriguez, JJ 2018, A ground-truth fusion method for image segmentation evaluation. in 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings. vol. 2018-April, 8470317, Institute of Electrical and Electronics Engineers Inc., pp. 137-140, 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018, Las Vegas, United States, 4/8/18. https://doi.org/10.1109/SSIAI.2018.8470317
Malladi SRSP, Ram S, Rodriguez JJ. A ground-truth fusion method for image segmentation evaluation. In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings. Vol. 2018-April. Institute of Electrical and Electronics Engineers Inc. 2018. p. 137-140. 8470317 https://doi.org/10.1109/SSIAI.2018.8470317
Malladi, Sree Ramya S.P. ; Ram, Sundaresh ; Rodriguez, Jeffrey J. / A ground-truth fusion method for image segmentation evaluation. 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. pp. 137-140
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