期刊文献+

一种基于网格的数码相机数字化图像纠正拼接算法 被引量:1

A digital camera digitization image rectification and mosaic algorithm based on grids
下载PDF
导出
摘要 随着数码相机的不断普及和数字化图书馆建设步伐的加快,利用数码相机对文档文件进行数字化成为一种趋势,但采用数码相机进行数字化时,由数码相机的镜头造成的几何畸变给数字化后的图像拼接带来一定的困难。为了纠正这种几何畸变,提高数码相机数字化的质量,本文提出一种基于网格的图像纠正拼接算法。该算法首先通过计算每个网格的变形参数来纠正图像的几何畸变,再逐个网格来进行图像拼接。试验表明,该算法能对数码相机数字化的文档类图像进行批量的纠正拼接,并且计算速度快,精度高,拼接效果好等优点,为文档类文件用数码相机进行数字化提供了一定的技术支持。 With the continuing popularity of digital cameras and the speeding up of digital library management,it is becoming a trend to digitizing documents with digital camera.However,when using digital cameras for digitalization,image rectification and mosaic will become a big problem.For the rectification of this geometric distortion,this paper puts forward an image mosaic method based on grids.At first,the geometry distortion of the picture is corrected through calculating the deformation parameter of each grid.Then the mosaic is finished on the grid one by one.The experiment shows that this algorithm can concatenate a large amount of documents at one time,and has the advantage of fast calculation and high precision,which can offer certain technical support for files digitization by digital camera.
出处 《测绘科学》 CSCD 北大核心 2007年第6期143-145,共3页 Science of Surveying and Mapping
基金 国家自然科学基金青年基金:三维无缝立体影像数据库研究(40201044)
关键词 网格 数码相机 图像拼接 grid digital camera image mosaic
  • 相关文献

参考文献7

二级参考文献24

  • 1郑明玲,刘衡竹.遥感图像配准中特征点选择的高性能算法研究及其实现[J].计算机学报,2004,27(9):1284-1289. 被引量:17
  • 2[1]ROBERT M HAWLICK.Statistical and Structural Approaches to Texture[J].PROCEEDINGS OF THE IEEE,1979,67,(5). 被引量:1
  • 3[2]Guoliang Fan.Wavelet Domain Statistical Image Modeling and Processing[D].Thesis,2001. 被引量:1
  • 4[3]Fang Liu and Rosalind W Picard.Periodicity,Directionality and Randomness:Wold Features for Image Modeling and Retrieval[J].IEEE Trans.On Pattern Analysis and Machine Intelligence1996,18,(7). 被引量:1
  • 5[4]Hsin-Chih Lin,Ling-Ling Wang,Shi-Nine Yang.Extracting periodicity of a regular texture based on autocorrelation functions[J].Pattern Recognition Letters,1997,18:433-443. 被引量:1
  • 6[5]Jia-Guu Leu.On indexing the periodicity of image textures[J].Image and Vision Computing,2001,19:987-1000. 被引量:1
  • 7[6]Tam_ as Szir_ anyi,Attila Hanis.Sub-pattern texture recognition using intelligent focal-plane imaging sensor of small window -size[J].Pattern Recognition Letters,1999,20:1133-1139. 被引量:1
  • 8[7]Valery V Starovoitov,Sang-Yong Jeong and Rae-Hong Park.Texture Periodicity Detection:Features,Properties,and Comparisons[J].IEEE TRANSACTIONS ON SYSTEMS,MAN,AND CYBERNETICS-PART A:SYSTEMS AND HUMANS,1998,28(6). 被引量:1
  • 9[8]Sen-Ren Jan,Yuang-Cheh Hsueh.Window-size determination for granulometrical structural texture classification[J].Pattern Recognition Letters,1998,19:439 446. 被引量:1
  • 10[9]Jorge S Marques.Periodicity Estimation in Textured Images Using a ML Approach[J].IEEE.1994. 被引量:1

共引文献78

同被引文献13

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部