CAJ | 학술논문

针对一页规则的既纵切又横切的中文文件碎片和一页规则的双面打印的英文文件碎片，分别提出了一种基于行列图像的碎片匹配算法和二维图像成片连接匹配算法。首先将碎片边缘像素点转化成灰度值，然后对各碎片的灰度值进行匹配度研究，且将匹配度作为碎片之间拼接的依据，最后使用相应的算法计算机按碎片拼接顺序输出碎片号。通过实验分析表明，该算法能够更快地获得碎片拼接结果，大大提高拼接复原效率。
침대일혈규칙적기종절우횡절적중문문건쇄편화일혈규칙적쌍면타인적영문문건쇄편，분별제출료일충기우행렬도상적쇄편필배산법화이유도상성편련접필배산법。수선장쇄편변연상소점전화성회도치，연후대각쇄편적회도치진행필배도연구，차장필배도작위쇄편지간병접적의거，최후사용상응적산법계산궤안쇄편병접순서수출쇄편호。통과실험분석표명，해산법능구경쾌지획득쇄편병접결과，대대제고병접복원효솔。
Regarding one regular page of both longitudinal and transversal fragmentation of Chinese file fragments and one page of duplex printing document in English, this paper proposed a matching algorithm based on the fragment matching of the ranks and the piece connection for two-dimensional image. Firstly, this paper transformed pixels of the debris edge into the gray values, which were used as the basis of the matching degree of each fragments. And fragments matching depended on the matching degree. Finally, using the different matching algorithms, the computer output spliced sequence number. Through the experimental analysis, evidence shows that this model can get the result of fragments matching faster and greatly improve recovery efficiency.