【摘要】 根据视觉识别边缘的感知特性,提出了一种基于直线感知增强的弱边缘的边缘提取算法。借鉴视觉的直线感知方式,针对弱边缘整体上呈直线分布的特点将其筛选出来,进行编组、连接和扩展。与Edison边缘提取算子的比较实验证明,本算法在对弱边缘的提取和虚假边缘的抑制上有显著增强。更多还原

【Abstract】 Weak edges are similar to the background in intensity which causes small gradient value.The previous edge extraction algorithms are difficult in detecting weak edges with tight threshold,while with loose threshold will lead to lots of false edges caused by noise and interference.An edge extraction algorithm based on linear features perception is proposed.The visual mode of linear perception is used as reference;and weak edges are selected according to their linear distribution.The experiment results show that the proposed algorithm has a significant enhanced ability to extract weak edges and inhibit false edges comparing with Edison edge extraction algorithm.更多还原