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基于Retinex彩色图像增强及其闭合区域提取的研究(英文) 被引量:9

Research of the Color Remote Sensing Image Fusing Method Based on Retinex and Edge Extraction
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摘要 提出了一种基于Retinex和闭合边缘提取的新方法.这一方法对于彩色遥感图像中存在的阴影区域得到了增强.首先将彩色遥感图像利用小尺度Retinex进行增强,再利用边缘检测的结果,编制程序提取原图像中阴影的区域,将用小尺度Retinex增强的图像中相应的像素替代原图像中阴影的区域.在实施闭合边缘提取过程中,提出了真断点与准断点判别法、“蝌蚪”状尾巴回退消除法等,确保所需要的闭合区域的提取.这一方法对于遥感图像中地物的半自动提取方面有着重要意义. The research work has brought a new method, which is based on small-scale Retinex and closed regions extraction, to enhance color remote sensing image. The information in dark regions is highlighted using Retinex, and the closed regions of the remote sensing image are extracted after edge detection. The fused image is that the shadow regions in original image are replaced by the same regions of the handled image using Retinex. The new fused image has more information than which of original image. While the closed regions is being extracted, new programs to judge the real-broken points and the quasi-broken points were developed, to eliminate the tails of "polliwog" by the backspacing method, and so on. These methods play an important role for the objects of remote sensing images by the method of semi automatic extraction.
出处 《光子学报》 EI CAS CSCD 北大核心 2007年第3期565-567,共3页 Acta Photonica Sinica
关键词 信息光学 RETINEX 边缘检测 闭合区域提取 遥感 Information optics Retinex Edge detection Closed regions extraction Remote sensing
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  • 1李明,吴艳,吴顺君.基于小波多通道特征级融合的彩色纹理图像分析[J].光子学报,2004,33(8):999-1003. 被引量:6
  • 2杜培军,方涛,唐宏,陈雍业.高光谱遥感信息中的特征提取与应用研究(英文)[J].光子学报,2005,34(2):293-298. 被引量:38
  • 3吴小华,李自田,张帆.干涉超光谱图像分析与近无损压缩CPLD实现[J].光子学报,2005,34(9):1346-1350. 被引量:17
  • 4赵荣椿.数字图象处理导论[M].西安:西北工业大学出版社,1996..
  • 5Pal S K, King R A, Hashim A A. Automatic graylevel thresholding through index d fuzziness and entropy. Pattern Recognition Letter, 1983,1 : 141 - 146.
  • 6Murthy C A,Pal S K. Histogram thresholding by minimizing graylevel fuzziness. Information Sceices, 1992,60: 107 ~ 135.
  • 7Murthy C A,Pal S K. Bound for membemhip function: A correlation-based approach. Information Sceices, 1992, 65:143 - 171.
  • 8Murthy C A,Pal S K. Fuzzy thresholding: mathematic frame work, bound functions and weighted moving average technique. Paaern Recognition Letter, 1990,11 : 197 ~ 206.
  • 9Gudivada V N,Raghavan V V. Content based image retrieval systems.IEEE Computer,1995,28(9):18-22
  • 10Yong Rui. Image retrieval: current techniques,promising direction and open issues. Journal of Visual Communication and Image Representation,1999,10(3):39-62

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