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Algorithm for the Detection of FeebSe Edge of Complex Image

机译:检测复杂图像FeeBSE边缘的算法

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Image weak edge detection has a wide application. An improved ant colony algorithm is used for image edge detection. When image background is very complex ,the weak edge detection is more difficult. Around the key steps in the existing ant colony algorithm, we propose two improved methods. First, the expression of pheromone has been improved, and second, to improve the heuristic information value is calculated. Finally, the improved ant colony algorithm with the traditional Canny edge detection algorithm are compared.The improved edge detection experiments show that the new algorithm is position detection accurate, continuity, and the advantages of less interference.
机译:图像弱边缘检测具有广泛的应用。改进的蚁群算法用于图像边缘检测。当图像背景非常复杂时,弱边缘检测更加困难。围绕现有蚁群算法的关键步骤,我们提出了两种改进的方法。首先,能够改善信息素的表达,并且第二,为了提高启发式信息值。最后,比较了传统的罐头边缘检测算法的改进的蚁群算法。改进的边缘检测实验表明,新算法是定位检测精确,连续性和干扰较小的优点。

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