A Salient Object Detection Method Fused with Distance Information and Manifold Ranking

CHEN Ruiqi; NAN Xinmeng; CHANG Hao

doi:10.15892/j.cnki.djzdxb.2023.03.005

Journal of Projectiles, Rockets, Missiles and Guidance >

2023 , Vol. 43 >Issue 3: 33 - 38

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2023.03.005

A Salient Object Detection Method Fused with Distance Information and Manifold Ranking

CHEN Ruiqi ¹ ,
NAN Xinmeng ¹ ,
CHANG Hao ²

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¹ Xi'an Mordern Control Technology Research Institute, Xi'an 710065, Shaanxi, China
² No.32382 Unit, Beijing 100072, China

Received date: 2022-10-20

Online published: 2025-02-07

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Abstract

Aiming at the problem of detecting and recognizing targets from complex backgrounds, a salient object detecting method based on the combination of distance information and manifold ranking is proposed. In order to improve the detection performance in complex backgrounds, two-dimensional distance information is used to segment visible light images and infrared images, and manifold ranking is used to process the images. Experimental results show that under daylight condition the precision and recall of this method are 87.7% and 91.6% respectively; while under nighttime condition the precision and recall are above 81.2% and 86.3%. Results show the proposed method can significantly improve the accuracy of target detection from complex backgrounds while ensuring the speed of image processing.

Key words： image processing; saliency detection; target recognition; manifold ranking; distance information

Cite this article

CHEN Ruiqi , NAN Xinmeng , CHANG Hao . A Salient Object Detection Method Fused with Distance Information and Manifold Ranking[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2023 , 43(3) : 33 -38 . DOI: 10.15892/j.cnki.djzdxb.2023.03.005

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