期刊文献+

基于EBIR算法和遗传算法的图像信息检索 被引量:1

The Picture Searches Based On EBIR And GA
下载PDF
导出
摘要 虽然我们批判经验论,但人的很多判断依赖于经验,所以我们不得不承认经验在日常生活中的作用.有些时候(如医学诊断),我们需要存储大量的图片,同时也需要借鉴以往的经验.这样,从大量的图片库中寻找与待处理图片相似的信息就显得尤为重要了.利用遗传算法的全局寻优的优势,选取适当的适应度函数,利用从图像中提取主特征值的方法存储并检索图像数据库,取得了比较理想的效果. A lot of people judgements depending on experience. The experience theory have been criticized, but experience played the important role in our life. Sometimes we need to store a large number of pictures (such as medical diagnosis), and use past experience for reference. Therefore it is important to search for information of processing pictures. An orientation function with the advantage of GA were introduced in this text.
出处 《西北民族大学学报(自然科学版)》 2005年第2期77-80,共4页 Journal of Northwest Minzu University(Natural Science)
关键词 遗传算法 图像检索 信息熵 GA picture searches entropy
  • 相关文献

参考文献5

  • 1孙君顶,毋小省,周利华.基于信息熵的图像检索[J].西安电子科技大学学报,2004,31(2):223-228. 被引量:25
  • 2ROBERTJ McELIECE.THETHEORYOFINFORMATIONANDCODING,(第二版)[M].北京:电子工业出版,2004..
  • 3Gong Y,Zhang H,Chuan C.An Image Datebase System with Fast Image Indexing Capability Based on Colour Histograms[A].
  • 4Persoon E,Fu K S. Shape Discrimination Using Fourier Descriptors[J].IEEE Trans on Systems,Man and Cybemetics,1997,7(3):170-179.
  • 5李宏贵,李兴国,李国桢,罗正发.一种基于遗传算法的红外图像增强方法[J].系统工程与电子技术,1999,21(7):44-46. 被引量:7

二级参考文献10

  • 1Chan S K. Content-based Image Retrieval[D]. Singapore: National Urfiversity of Singapore, 1994.
  • 2Swain M J, Ballard D H. Color Indexing[J]. Int J Comput Vision, 1991, 7(1): 11-32.
  • 3Gong st', Zhang H, Chuan C. An Image Database System with Fast Image Indexing Capability Based on Colour Histograms[ A].Proceedings of IEEE 10's Ninth Annum International Conference[ C]. Singapore: IEEE, 1994. 407-411.
  • 4Persoon E, Fu K S. Shape Discrimination Using Fourier Descriptors[J] . IEEE Trans on Systems, Man and Cybernetics, 1977, 7(3) :170-179.
  • 5Kauppinen H, Seppanen T, Pietikainen M. An Experimental Comparison of Autoregressive and Fourier-Based Descriptors in 2D Shape ClassLfication[J]. IEEE Trans on PAMI, 1995, 17(2): 201-207.
  • 6Mehtre B M, Kankanhalli M S, Lee W F. Shape Measures for Content Based Image Retrieval: a Comparison [ J ]. Information Processing & Management, 1997, 33(3) : 319-337.
  • 7Lu G J, Sajjanhar A. Region-based Shape Representation and Similarity Measure Suitable for Content-based Image Retrieval[J].Multimedia System, 1999, 7(2): 165-174.
  • 8Safar M. Shahabi C, Sun X. Image Retriew, d by Shape: a Comparative Study[A]. IEEE Int Conf on Multimedia and Expo[C]. New York: IEEE. 2000. 141-144.
  • 9Charkrabarti K, Binderberger M O, Porkaew K, et al. Similar Shape Retrieval in MARs[A]. IEEE Int Conf on Multimedia and Expo[C]. New York: IEEE, 2000. 709-712.
  • 10Smith J R, Chang S F. Transform Features for Texture Classification and Discrimination in Large Image Databases[ A]. Proc IEEE ICIP'95[C]. New York: IEEE, 1995. 407-411.

共引文献30

同被引文献3

  • 1JOHN M Z. An information theoretic approach to content based image retrieval[D]. Louisiana State University and Agricultural and Mechanical College, 2000:36-77.
  • 2RRICARDODA S.T, ZHANG Bao Ping ,EDWARD A.F. A genetic programming framework for content-based image retrieval[J]. Pattern Recognition, 2009,42(2): 283-292.
  • 3齐岩,卢德唐.交互式遗传算法在基于内容的图像检索中的应用[J].中国图象图形学报(A辑),2004,9(1):46-55. 被引量:13

引证文献1

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