Multichannel Saliency Detection Based on Visual Bionics
| Autor: | Tianyi Li, Wei Wei, Jihua Gu, Cheng Lidan, Shijia Zha |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Bionics
Article Subject Computer science QH301-705.5 Biomedical Engineering Stability (learning theory) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Medicine (miscellaneous) Bioengineering 02 engineering and technology Interference (wave propagation) Rgb image Image (mathematics) Colour perception 0202 electrical engineering electronic engineering information engineering Visual attention Computer vision Biology (General) Feature saliency business.industry 020206 networking & telecommunications 020201 artificial intelligence & image processing Artificial intelligence business TP248.13-248.65 Research Article Biotechnology |
| Zdroj: | Applied Bionics and Biomechanics, Vol 2020 (2020) Applied Bionics and Biomechanics |
| ISSN: | 1754-2103 1176-2322 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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