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基于分形的人造目标与自然物体区别 被引量：7

Recognition of Manmade Target and Natural Object Through Fractal
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摘要 提出一种基于物体分形特征的人造目标与自然物体的区分方法.该方法根据人造目标和自然物体的固有差异,将分形维数作为估计表面粗糙度的一个重要参数,结合“毯子”维算法来计算物体表面粗糙度.该算法快速、简单、有效.实验表明,人造目标的分形维数较低,自然目标的分形维数较高,用此算法计算物体分形维数区别人造目标和自然物体是可行的. Based on object＇s fractal dimension, an approach was proposed to differ manmade target from natural objects. According to the innate difference between manmade targets and natural objects, fractal dimension was taken as a very important parameter to estimate the surface roughness, and the surface roughness of the target was calculated by the algorithm proposed by Peleg et al. The method is fast, simple and effective. Experimental result showed that the number of fractal dimensions of manmade targets is lower than that of natural objects. It is feasible to differ manmade targets from natural objects by the fractal dimension calculation.
作者 曾鹏鑫 么健石 朱琳琳 徐心和
机构地区 东北大学教育部暨辽宁省流程工业综合自动化重点实验室 沈阳炮兵学院自行火炮系
出处 《东北大学学报（自然科学版）》 EI CAS CSCD 北大核心 2006年第3期260-263,共4页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(60475036) 国防预研项目
关键词 分形 分形维数 模式识别 图像处理 fractal fractal dimension mode recognition image processing
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献10

  • 1Mandelbrot B B,Passoja D E,Paullay A J.The fractal character of fracture surfaces of metals[J].Nature,1984,308(19):721-722.
  • 2Rigaut J P.Automated image segmentation by mathematical morphology and fractal geometry[J].J Microscopy,1988,150(1):21-30.
  • 3Barnsley M.Fractals everywhere[M].San Diego:Academic Press,1988.
  • 4赵德平,郭志,高丽佳.一种快速分形图像压缩编码[J].东北大学学报（自然科学版）,2002,23(9):825-828. 被引量：4
  • 5Zorpette G.Fractal:not just another pretty picture[J].IEEE Spectrum,1988,25(10):29-31.
  • 6Peleg S,Naor J,Hartley R,et al.Multiple resolution texture analysis and classification[J].IEEE Trans PAMI,1984,6(4):518-523.
  • 7Pentland A.Fractal based description of natural scenes[J].IEEE Trans PAMI,1984,6(6):661-674.
  • 8Gangepain J J,Roques-Carmes C.Fractal approach to two dimensional and three dimensional surface roughness[J].Wear,1986,109(1):119-126.
  • 9Keller J M,Crownover R,Chen S.Texture description and segmentation through fractal geometry[J].Computer Vision,Graphics and Image Processing,1989,45(2):150-166.
  • 10Chaudhuri B B,Sarkar N.Texture segmentation using fractal dimension[J].IEEE Trans PAMI,1995,17(1):72-77.

二级参考文献13

  • 1[1]Jacquin A E. Image coding based on a fractal theory of iterated contractive image transformations[J]. IEEE Transactions on Image Processing, 1992,1(1):18-30.
  • 2[2]Falconer K J. Fractal geometry:mathematical foundation and application[M]. New York: Wiley, 1990.90-120.
  • 3[3]Barnsley M F. Fractals everywhere[M]. New York:Academic Press, 1993.118-138.
  • 4[4]Fisher Y. Fractal image compression[J]. Fractals, 1994,2(3):321-329.
  • 5[5]Jacobs E W, Fisher Y, Boss R D. Image compression: A study of the iterated transform method[J]. Signal Processing, 1992,29:127-142.
  • 6[6]Christopher J W, Blake F B. On the performance of fractal compression with clustering[J]. IEEE Transactions on Image Processing, 1996,5(3):522-526.
  • 7[7]Chang H T,Kuo C J. Iteration-free fractal image coding based on efficient domain pool design[J]. IEEE Transactions on Image Processing, 2000,9(3):329-339.
  • 8[8]Truong T K, Jeng J H, Reed I S,et al. A fast encoding algorithm for fractal image compression using the DCT inner product[J]. IEEE Transactions on Image Processing, 1999,9(4):529-535.
  • 9[9]Hamzaoui R,Saupe D. Combining fractal image compression and vector quantition[J]. IEEE Transactions on Image Processing, 2000,9(2):134-142.
  • 10[10]Chang S K, Rin C K, Sang U L. A fractal vector quantizer for image coding[J]. IEEE Transactions on Image Processing, 1998,7(11):445-453.

共引文献3

同被引文献71

引证文献7

二级引证文献16

东北大学学报（自然科学版）
2006年 第3期

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