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基于Windows CE下大像素图像分块显示算法的研究 被引量:2

Research of Blocking Display Large Pixels Pictures Algorithm Based on Windows CE
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摘要 Windows CE是一种典型的嵌入式系统,由于其配置的硬件资源的瓶颈,内存资源比一般的PC相对紧张。所以在安装Windows CE的设备下显示大像素图像文件比在一般的PC(Windows2000系统)上更加困难。介绍在Windows CE环境下如何利用分块显示法,对大像素图像进行分块显示。提出首先在PC机上利用网格分块法将一幅大像素图像文件BMP,JPEG图像文件分割压缩成多块像素量小的BMP,JPEG图像文件,对每个小图像文件进行编号,存放到Windows CE PDA上;然后在Windows CE PDA上利用网格检索的方法进行检索所需要的像素块的索引号;最后利用多线程的方法在显示区分块显示,实现大像素图像在Windows CE下的显示。 Windows CE is a typical embedded OS, because of the limitation of its hardware resource RAM of the embedded device is more deficient than traditional personal computer. So displaying a picture with large pixels is harder to embedded device ( Windows CE OS) then PC ( Windows 2000). This essay mainly introduces how to use Separate Blocked method to display a large pixels picture on Windows CE. First, it uses Gird Separate Blocked method to cut a large pixels picture ( in BMP or JPEG format) into small pieces in PC. These small pieces are inde- pendent pixel blocks. Each saved in BMP or JPEG format. Each of small pictures has its index code and then copies all of these small pictures to Windows CE PDA. Second, in the PDA, it uses a Gird Searching method in order to search the index codes of the pixel blocks which are needed. And then, it displays each block with muhithread method.
出处 《科学技术与工程》 2008年第15期4170-4173,4183,共5页 Science Technology and Engineering
关键词 Windows CE 嵌入式系统 JPEG 大像素图像 网格分块法 网格检索 多线程 Windows CE Embedded OS JPEG large pixels picture grid separate blocked method gird searching method muhithread
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参考文献2

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  • 2Weerasinghe Chaminda, Ji Lilian, Yan Hong. A new methodfor ROI extraction from motion affected MR images based onsuppression of artifacts in the image background [J]. SignalProcessing, 2000, 80(5):867-881.
  • 3Xia Yan, Hu Qingmao, Aziz Aamer, et cd. A knowledge-driven algorithm for a rapid and automatic extraction of the hu-man cerebral ventricular system from MR neuroimages [J].Neuroimage, 2004,21(l):269-282.
  • 4Yang Jinfeng, Shi Yihua. Finger-vein ROI localization andvein ridge enhancement [J]. Pattern Recognition Letters,2012, 33(12): 1569-1579.
  • 5Baeza I, Verdoy J -A, Villanueva-Oller J, et al. ROI-basedprocedures for progressive transmission of digital images:Acomparisonfj]. Mathematical and Computer Modelling, 2009,50(5-6): 849-859.
  • 6乔哲,姚行中,徐俊.基于VC-的BMP图像分块[J].中国水运(理论版),2008,6(1):214.
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  • 8邱磊.JPEG算法研究及实现[J].计算机时代,2009(9):52-53. 被引量:4
  • 9石端虎,刚铁,张华军,杨根喜.工字形焊件射线图像中微小缺陷的分割及提取[J].中国机械工程,2010,21(1):59-62. 被引量:9
  • 10陈国军,叶飞跃.大幅图像的分块细化加速算法[J].计算机工程与应用,2001,37(23):101-102. 被引量:11

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