Expanded Dempster-Shafer reasoning technique for image feature integration and object recognition

Qiuming Zhu; Yinghua Huang; Matt G. Payne

Expanded Dempster-Shafer reasoning technique for image feature integration and object recognition

Qiuming Zhu, Yinghua Huang, Matt G. Payne

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Integration of information from multiple sources has been one of the key steps to the success of general vision systems. It is also an essential problem to the development of color image understanding algorithms that make full use of the multichannel color data for object recognition. This paper presents a feature integration system characterized by a hybrid combination of a statistic-based reasoning technique and a symbolic logic-based inference method. A competitive evidence enhancement scheme is used in the process to fuse information from multiple sources. The scheme expands the Dempster-Shafer's function of combination and improves the reliability of the object recognition. When applied to integrate the object features extracted from the multiple spectra of the color images, the system alleviates the drawback of traditional Baysian classification system.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	Publ by Int Soc for Optical Engineering
Pages	36-47
Number of pages	12
ISBN (Print)	0819409391
State	Published - 1992
Event	Neural and Stochastic Methods in Image and Signal Processing - San Diego, CA, USA Duration: Jul 20 1992 → Jul 23 1992

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1766
ISSN (Print)	0277-786X

Other

Other	Neural and Stochastic Methods in Image and Signal Processing
City	San Diego, CA, USA
Period	7/20/92 → 7/23/92

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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Cite this

Zhu, Q., Huang, Y., & Payne, M. G. (1992). Expanded Dempster-Shafer reasoning technique for image feature integration and object recognition. In Proceedings of SPIE - The International Society for Optical Engineering (pp. 36-47). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1766). Publ by Int Soc for Optical Engineering.

Expanded Dempster-Shafer reasoning technique for image feature integration and object recognition. / Zhu, Qiuming; Huang, Yinghua; Payne, Matt G.

Proceedings of SPIE - The International Society for Optical Engineering. Publ by Int Soc for Optical Engineering, 1992. p. 36-47 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1766).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhu, Q, Huang, Y & Payne, MG 1992, Expanded Dempster-Shafer reasoning technique for image feature integration and object recognition. in Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 1766, Publ by Int Soc for Optical Engineering, pp. 36-47, Neural and Stochastic Methods in Image and Signal Processing, San Diego, CA, USA, 7/20/92.

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