A Dual Path Saliency Detection with MSER and Grayscale Scarcity

Yufei Wei, Yuteng Ma, Dongzhi Jiang, Chen Wu*, Chenwei Deng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to solve the problem of imprecise target detection caused by complex background and similar and small target size and interference size in the saliency detection process of TV camera on targets in field scenes, this paper provides a saliency detection algorithm combining MSER and grayscale scarcity. The results show that this method has strong anti-interference performance, and can eliminate the small clutter background interference and the gradual background interference of the target. The proposed method also overcomes the problem that existing saliency detection methods are difficult to detect small targets. Compared with other classical saliency detection algorithms, the proposed method has the best saliency detection effect.

Original languageEnglish
Title of host publicationProceedings of 2022 10th China Conference on Command and Control
PublisherSpringer Science and Business Media Deutschland GmbH
Pages894-907
Number of pages14
ISBN (Print)9789811960512
DOIs
Publication statusPublished - 2022
Event10th China Conference on Command and Control, C2 2022 - Beijing, China
Duration: 7 Jul 20229 Jul 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume949 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference10th China Conference on Command and Control, C2 2022
Country/TerritoryChina
CityBeijing
Period7/07/229/07/22

Keywords

  • Grayscale scarcity
  • MSER
  • Saliency detection
  • Small target

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