期刊文献+

基于多特征融合的海洋生物图像检索方法的研究 被引量:2

Research of Marine Organism Image Retrieval Approach Based on Multi-Feature
原文传递
导出
摘要 基于内容的图像检索技术主要是通过提取图像的颜色、形状、纹理等可视特征作为图像检索依据,对图像库进行近似检索.针对海洋生物图像的特点,将离散余弦变换技术应用到图像检索中,计算基于圆环分割的图像块的DCT能量矩得到图像的纹理信息.在此基础上,提出了一种综合DCT能量矩和不变矩的多特征融合的图像检索方法,并将其应用到海洋生物图像检索中.实验结果表明,使用该方法可以提高海洋生物图像检索的准确率,且对图像的旋转、缩放和平移具有不变性. The image retrieval technology based on content is mainly by extracting image color,shape,texture and other visual features as an image retrieval basis to obtain approximate results from image database.In this paper,according to the characteristics of the marine organism image,the technique of discrete cosine transform is used in image retrieval;the annular energy moment based on DCT is presented as an efficient textural feature descriptor.Based on this,we propose a comprehensive image retrieval method based on DCT energy moment and Hu moment invariant,and apply it to marine organism image retrieval.The experimental results show that the accuracy and speed of the retrieval results are improved,and at the same time the proposed method is very robust in terms of scale and rotation invariance.
作者 余元辉 邓莹
出处 《河南大学学报(自然科学版)》 CAS 2015年第2期217-222,共6页 Journal of Henan University:Natural Science
基金 福建省自然科学基金(JK2012026)
关键词 图像检索 离散余弦变换 能量矩 不变矩 image retrieval discrete cosine transform energy moment moment invariant
  • 相关文献

参考文献9

  • 1Zhang D S, Lu G J. Review of shape representation and description techniques[J]. Pattern Recognition, 2004, 37:1 19.
  • 2Pentland A, Picard R W, Sclaroff S. Content-based manipulation of image databases[J]. International Journal of Computer Vision, 1996,18(3) :233-254.
  • 3Flickner M, Sawhney H, Niblack W, et al. Query by image and video content: the qbic system[J]. IEEE Computer, 1995, 28 (9): 23 32.
  • 4John R S, Chang S F. A fully automated content-based image query system[C]//Proceedings of ACM Multimedia 96, Boston, USA, 1996:87-98.
  • 5余元辉,邓莹.能量矩与颜色聚类相结合的图像检索方法[J].河南大学学报(自然科学版),2012,42(1):96-100. 被引量:1
  • 6Ahmed N, Natarajan T, Rao K R. Discrete cosine transform[J]. IEEE Transactions on Computers, 1974,23:90-93.
  • 7Hu M K. Visual pattern recognition by moment invariants[J]. IRE Transactions on Information Theory, 1962, 8:179-187.
  • 8Timo O, Matti P, Topi M. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J]. IEEE transactions on pattern analysis and machine intelligence, 2002,24(7) : 971-987.
  • 9John R S, Chang S F. Visually searching the web for content[J]. IEEE Multimedia Magazine, 1997,4:12-20.

二级参考文献3

  • 1徐琨,李燕.基于分块颜色矩和纹理特征的图像检索方法[J].西安石油大学学报(自然科学版),2005,20(2):77-79. 被引量:20
  • 2Stricker Markus A,Orengo Markus. Similarity of color images[J]. San Jose CA USA:SPIE,1995: 381--392.
  • 3H Frigui, O Nasraoui. Simultanous Clustering and Attribute Discrimination[C]. Proceeding of the 9th IEEE International Con(erence on Fuzzy Systems, 2000.

同被引文献29

  • 1施智平,胡宏,李清勇,史忠植,段禅伦.基于纹理谱描述子的图像检索[J].软件学报,2005,16(6):1039-1045. 被引量:44
  • 2汪振兴,佘焱,姜建国.赤潮藻类图像自动识别的研究[J].海洋环境科学,2007,26(1):42-44. 被引量:10
  • 3王铌,于新生,唐颖,刘西锋.图像自动识别技术在海洋浮游生物分析中的应用[J].海洋科学,2007,31(10):61-66. 被引量:8
  • 4RUI Yong, THOMAS S HUANG. Image Retrieval: Current Techniques, Promising Directions and Open Issues [ J ]. Journal of Visual Communication and Image Representation, 1999, 10(3) : 39-62.
  • 5DING N, CAI F, CAI X. Research on Image Retrieval Method Based on Shape Feature [ J ]. Applied Mechanics and Materials, 2013, 2545(353): 3520-3523.
  • 6BUSKEY E J, HYATY C J. Use of the FlowCAM for Semi-Automated Recognition and Enumeration of Red Tide Cells ( Karenia Brevis) in Natural Plankton Samples [J]. Harmful Algae, 2006, 5(6) : 685-692.
  • 7LOWE D G. Distinctive Image Features from Scale-Invariant Key Points [ J ]. International Journal of Computer Vision, 2004, 60(2) : 91-110.
  • 8BELLMAN R, KALABA R E. Dynamic Programming and Modern Control Theory [ M ]. New York: Academic Press, 1965.
  • 9陆丹锋.基于词包模型的背景建模方法研究[D].西安:西安电子科技大电子工程学院,2012.
  • 10LIU C. Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition [ J ]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2004, 26 (5) : 572-581.

引证文献2

二级引证文献5

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