期刊文献+

基于图形语言的图像处理算法开发环境模型 被引量:2

Graphical language-based on model of development environment for image processing algorithm
原文传递
导出
摘要 为了解决图像处理算法开发过程中研究人员花费大量时间在成型算法和交互界面的编码上,导致研发效率低下的问题,结合实际研发过程,提出了关于图像处理和分析算法研究的过程模型,构建并实现了基于图形语言的图像处理算法快速开发环境模型.经应用证明,该研发集成环境模型能够使算法研究人员更专注于目标算法的研制工作,高效地完成算法研发任务. Researchers usually struggle in coding for user interfaces and sophisticated algorithms,which are time-consumed and ineffective. To tackle this problem and free the researchers to focus on the target algorithm,a procedural model for development of image processing and analysis algorithm is proposed. And rapid development environment based on graphical language for image processing algorithm (RDE-IPA) is developed. The algorithm researchers can more concentrated their focus in the research task of the target algorithm rather than the code work or other inefficient work,so that the efficiency of algorithm development is increased.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2010年第7期82-85,共4页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(60736010) 国防基础研究项目
关键词 图形语言 图像处理算法 开发环境 工作流 系统框架 graphical language image processing algorithm development environment workflow system architecture
  • 相关文献

参考文献11

  • 1Singh S, Slous R. Accelerating Adobe Photoshop with reeonfigurable logic [C]///FPGAs for Custom Computing Machines. Napa Valley: IEEE, 1998: 236 244.
  • 2Long W, Srihann S. Land cover classification for SSC image: unsupervised and supervised classification using ERDAS imagine[C]//Geoscience and Remote Sensing Symposium. Anchorage: IEEE. 2001: 2 707-2 712.
  • 3Robson M, Vachon P W, Seeker J. Evaluation of cognition for assisted target detection and recognition in SAR imagery[C]//Geoscienee and Remote Sensing Symposium. Denver: IEEE, 2006:145-148.
  • 4Hunt N. IDF: a graphical data flow programming language for image processing and computer vision [C]//IEEE International Conference on Systems. Man and Cybernetics. Los Angeles: IEEE. 1990: 351-360.
  • 5Konstantinides K. RasureJ R. The Khoros software development environment for image and signal processing[J]. IEEE Transactions on Image Processing. 1994, 3(3): 243-252.
  • 6Ranaweera K P, Samarabandu J. A knowledge capturing approach for a cooperative intelligent image analysis system[C]//Proe SPIE. San Jose: SPIE. 2004: 126-131.
  • 7崔文凯,卢再奇.ATR信息处理的软件体系结构[J].计算机技术与发展,2009,19(1):46-48. 被引量:2
  • 8Jia T, Zhao D Z, Li W. Research and implementation for a computer-aided diagnosis algorithm platform [C]//2nd IEEE Conference on Industrial Electronics and Applications. Harbin: IEEE. 2007: 2 135-2 139.
  • 9Hils D D. Visual languages and computing survey data flow visual programming languages[J]. Journa of Visual Languages and Computing. 1992(3): 69-101.
  • 10Dyer D S. A dataflow toolkit for visualization[J]. IEEE Computer Graphics and Applications. 1990. 10(4): 60-69.

二级参考文献2

共引文献1

同被引文献13

引证文献2

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