基于像素值的文字图片拼接

破碎文件的拼接在司法物证复原、历史文献修复以及军事情报获取等领域都有着重要的应用、传统的拼接复原工作需由人工完成，效率很低，采用Matlab软件对采集到的文档碎片进行像素数值矩阵的读取，运用各个图片碎片的图片特征值对大量混合文字碎片进行快速的特征分类，对同一类的文字碎片进行顺序拼接，结合人工干预的操作较为快速的完成大量文字图片的拼接复原，获取珍贵的文字信息，可节约时间和精力

Text Image Mosaic Based on Pixel Values

Broken files restoration has been applied widely in the judicial evidence recover, historical file repair, as well as military intelli- gence. Traditional broken files restoration work is finished manually, which is inefficient, Matlab software was applied to read the numerical matrix of pixels about collected docunlent fragment, use the eigenvalues of picture fragments to finish fast feature classification of the mixed text fragment, then put the same type of text fragments in order, combining the intervention operations can finish mosaic restoration about a large a- mount of text pietures more rapidly, acquire the precious infi~rmation of the text, save time and effort spent on traditional methods of stitching.