Abstract：This work aimed to address the limitations of traditional contour detection methods in extracting contour information from complex image objects on the basis of superior mechanisms of bird visual system in the image information processing. Firstly, by utilizing the preferred orientation mechanism of birds, the optimal direction selection for the receptive field was determined to enhance contour responses and reduce noise interference. Secondly, a color pre-segmentation model is constructed based on the specific wavelength filtering mechanism of bird oil droplets, which enhanced the color difference between the target and the background. Additionally, a color difference calculation model based on the spectral response characteristics of bird photoreceptors was proposed to avoid fragmentation of color channels in the image. Finally, inspired by the excitatory input mechanism of the avian optic tectum (TeO) for targets and the inhibitory projection mechanism of avian thalamic nuclei for backgrounds, the fine extraction of complex image contour and the suppression of image texture were achieved. Comparative experiments were conducted on 1449 images from the NYUD dataset and 500 images from the BSDS500 dataset, with ODS, OIS, and AP values of 0.68, 0.69, and 0.68, respectively, demonstrating superior performance compared to mainstream comparison methods. In conclusion, this study applied the excellent visual information processing mechanisms of birds to contour detection tasks, improving existing computational models and providing new ideas and methods for visual tasks. These findings are of significance in promoting the development of bioinspired visual models.
武薇, 楼凯文, 范影乐, 房涛. 基于鸟类视觉特征的复杂图像轮廓提取模型研究[J]. 中国生物医学工程学报, 2025, 44(6): 654-665.
Wu Wei, Lou Kaiwen, Fan Yingle, Fang Tao. Research on Complex Image Contour Detection Model Based on Avian Visual Features. Chinese Journal of Biomedical Engineering, 2025, 44(6): 654-665.
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