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The Splicing Method of Images of Rare Point's Feature Based on Artificial Fish-swarm Algorithm

机译:基于人工鱼群算法的稀有点特征图像拼接方法

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This paper presents a splicing method which is based on the edge detection of SUSAN and artificial fish-swarm algorithm, which solved splicing method about the pictures of seldom characters. Firstly, the images are detected edge by SUSAN algorithm. Secondly, it is removed noise according to the morphological method, and it is blocked by edge. Lastly it obtains the extreme points by artificial fish-swarm algorithm, and realizes stitching about pavement images of scarce characters. It has tested by undamaged pavement images, and the result is ideal.
机译:本文介绍了一种拼接方法,该方法是基于Susan和人工鱼类群的边缘检测,该算法解决了关于很少字符图片的剪接方法。首先,通过Susan算法检测图像的图像。其次,根据形态学方法去除噪音,它被边缘阻挡。最后,它通过人工鱼类群算法获得极端点,并实现了关于稀缺角色的路面图像的缝合。它由未损坏的路面图像测试,结果是理想的。

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