Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (5): 143-150.doi: 10.11896/jsjkx.230100132

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Salient Object Detection Method Based on Multi-scale Visual Perception Feature Fusion

WU Xiaoqin1, ZHOU Wenjun1,2, ZUO Chenglin2, WANG Yifan1, PENG Bo1   

  1. 1 School of Computer Science,Southwest Petroleum University,Chendu 610500,China
    2 Key Laboratory of Icing and Anti/De-icing,China Aerodynamics Research and Development Center,Mianyang,Sichuan 621000,China
  • Received:2023-01-30 Revised:2023-06-29 Online:2024-05-15 Published:2024-05-08
  • About author:WU Xiaoqin,born in 1997,postgra-duate,is a member of CCF(No.N7647G).Her main research interests include compu-ter vision and salient object detection.
    ZHOU Wenjun,born in 1990,Ph.D,assistant professor,master supervisor,is a member of CCF(No.G0634M).His main research interests include compu-ter vision,image perception and understanding.
  • Supported by:
    Key Laboratory of Icing and Anti/De-icing of CARDC(IADL20210203) and Natural Science Foundation of Sichuan Province(2023NSFSC0504,2023NSFSC1393).

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Abstract: Salient object detection has important theoretical research significance and practical application value,and has played an important role in many computer vision applications,such as visual tracking,image segmentation and object recognition.How-ever,the unknown categories and variable scales of salient objects in natural environments are still a major challenge for salient object detection,which affects the detection results.Therefore,this paper proposes a salient object detection method based on multi-scale visual perception feature fusion.First,based on the characteristics of visual perception,multiple perceptual features are designed and extracted.Second,each perceptual feature adopts a multi-scale adaptive method to obtain feature saliency maps.Finally,each salient feature map is fused to obtain the final salient object.According to the characteristics of different image perception features,the proposed method adaptively extracts feature salient objects,and can adapt to changing detection objects and complex detection environments.Experimental results show that this method can effectively detect salient objects of unknown categories and different scales under the background interference of natural environment.

Key words: Visual perceptual features, Salient object detection, Multi-feature fusion, Image segmentation, Multi-scale sampling

CLC Number: 

  • TP391
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