Salient contour detection is the key step of visual perception and is very important for visual detection and object recognition. In this paper, a new contour detection method, which is based on the bilateral asymmetric receptive field mechanism of the visual pathway, is proposed. First, the classical receptive field of primary visual cortex neurons was simulated, and the 2D Gaussian derivative was used to detect the primary contour response of the input image. Then, the asymmetric receptive field structure was introduced to enhance the contrast difference in local regions. Assuming that unilateral asymmetric receptive fields will suppress the intensity imbalance of the primary contour in the image, the strategy of weight information fusion, which is based on the bilateral asymmetric receptive field multi-scale inhibition, was proposed. Finally, texture suppression was performed with varying intensity in the local regions of the primary contour in the image, and the salient contour was detected. The salient contour detection method, which is based on bilateral asymmetric receptive fields proposed in this study, provides new ideas for the subsequent image understanding and analysis that are on the basis of the visual mechanism.

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基于双边不对称感受野机制的显着轮廓检测

显着轮廓检测是视觉感知的关键步骤，对于视觉检测和物体识别非常重要。本文提出了一种基于视觉通路双边不对称感受野机制的轮廓检测新方法。首先模拟初级视觉皮层神经元的经典感受野，利用二维高斯导数检测输入图像的初级轮廓响应。然后，引入非对称感受野结构以增强局部区域的对比度差异。假设单边非对称感受野会抑制图像中主要轮廓的强度不平衡，提出了基于双边非对称感受野多尺度抑制的权重信息融合策略。最后，在图像中主要轮廓的局部区域以不同的强度进行纹理抑制，并检测到显着轮廓。本研究提出的基于双边非对称感受野的显着轮廓检测方法为后续基于视觉机制的图像理解和分析提供了新的思路。