Multichannel Saliency Detection Based on Visual Bionics
Joint Authors
Cheng, Lidan
Li, Tianyi
Zha, Shijia
Wei, Wei
Gu, Jihua
Source
Applied Bionics and Biomechanics
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Inspired by the visual properties of the human eyes, the depth information of visual attention is integrated into the saliency detection to effectively solve problems such as low accuracy and poor stability under similar or complex background interference.
Firstly, the improved SLIC algorithm was used to segment and cluster the RGBD image.
Secondly, the depth saliency of the image region was obtained according to the anisotropic center-surround difference method.
Then, the global feature saliency of RGB image was calculated according to the colour perception rule of human vision.
The obtained multichannel saliency maps were weighted and fused based on information entropy to highlighting the target area and get the final detection results.
The proposed method works within a complexity of O(N), and the experimental results show that our algorithm based on visual bionics effectively suppress the interference of similar or complex background and has high accuracy and stability.
American Psychological Association (APA)
Cheng, Lidan& Li, Tianyi& Zha, Shijia& Wei, Wei& Gu, Jihua. 2020. Multichannel Saliency Detection Based on Visual Bionics. Applied Bionics and Biomechanics،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1120234
Modern Language Association (MLA)
Cheng, Lidan…[et al.]. Multichannel Saliency Detection Based on Visual Bionics. Applied Bionics and Biomechanics No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1120234
American Medical Association (AMA)
Cheng, Lidan& Li, Tianyi& Zha, Shijia& Wei, Wei& Gu, Jihua. Multichannel Saliency Detection Based on Visual Bionics. Applied Bionics and Biomechanics. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1120234
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120234