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基于模糊C-均值的文档碎片拼接方法
A Method for Stitching of Scrapped Paper Based on Fuzzy C Means
【摘要】 针对同时横切、纵切的文档碎片,提出了一个简单有效的方法将碎片进行拼接.该方法先将碎片进行预处理提取每幅碎片的特征向量,然后,利用模糊C-均值(FCM)聚类算法进行聚类,对每一类的碎片根据相邻碎片相似度最大的原则对碎片进行拼接,最后,根据同样的原则将已拼接好的行碎片进行拼接,从而给出碎片的完整拼接.实验表明了该方法的有效性.
【Abstract】 A simple and effective method for slitting and shearing scrapped paper is presented.Firstly,the preprocessing of scrapped paper is introduced,and the characteristic vector is extracted. Then,fuzzy c means is applied to cluster the crapped paper,and the method uses the edge of the similarity measure stitching the scrapped paper from left to right for each cluster. Finally,based on the same rules the method stitches the scrapped paper from top to bottom.The experimental results show that this method is effective.
【关键词】 碎纸拼接;
模糊C-均值;
相似性度量;
【Key words】 Stitching of scrapped paper; Fuzzy c means; Similarity measurement;
【Key words】 Stitching of scrapped paper; Fuzzy c means; Similarity measurement;
- 【文献出处】 吉林化工学院学报 ,Journal of Jilin Institute of Chemical Technology , 编辑部邮箱 ,2016年09期
- 【分类号】TP391.41
- 【下载频次】44