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Based on the Hamilton Improved Circle of Scraps Joining Together

机译:基于汉密尔顿改进的碎屑圈连接在一起

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By using Hamilton improved circle, transversely and longitudinally cut up paper join together. By scanning image and image extraction techniques, the images of shredded paper are obtained. The process of shredding splicing is mainly divided into two parts, the image preprocessing and edge matching. Then the images conver into grey value matrixes and binarization are implemented on the image with appropriate threshold. The images of shredded paper are classified into nineteen lines. With the shortest Euclidean distance between the edge of shredding and Hamilton improved circle, shredded paper is transversely spliced. The test shows that accuracy is as high as 100%.
机译:通过使用汉密尔顿改进的圆圈,横向和纵向切割纸张加入。通过扫描图像和图像提取技术,获得了切碎的纸张的图像。切碎剪接的过程主要分为两部分,图像预处理和边缘匹配。然后将图像转换为灰度值矩阵,并且在具有适当阈值的图像上实现二值化。切碎的纸张的图像分为19条线。粉碎和汉密尔顿的边缘之间的最短欧几里德距离改进圆圈,切碎的纸张横切拼接。测试表明,准确性高达100%。

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