Uniform color processing of scanned topographic maps using FFTW-based Retinex

被引：0
|
作者：
Fu Z.-L. [1 ,2 ]
Tong C.-Y. [1 ]
Shao S.-W. [1 ]
机构：
[1] School of Remote Sensing and Information Engineering, Wuhan University
[2] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
来源：
Yingyong Kexue Xuebao/Journal of Applied Sciences | 2010年 / 28卷 / 03期
关键词：
Color balance; Faster Fourier transform in the west (FFTW); Scanned topographic maps; Single-scale Retinex (SSR);
D O I：
10.3969/j.issn.0255-8297.2010.03.012
中图分类号：
学科分类号：
摘要：
This paper analyzes the appearance of creases and light non-uniformity in scanned topographic maps, and applies the Retinex theory to process the maps. A processing method and a single-scale Retinex algorithm (SSR) are proposed based on the faster Fourier transform in the west (FFTW) and the Retinex theory. Experimental results show that the proposed method can overcome disadvantages of the mathematical model and effectively remove creases and light non-uniformity in scanned topographic maps.
引用
收藏
页码：297 / 300
页数：3
相关论文
共 10 条
  • [1] Wang M., Pan J., A method of removing the uneven illumination for digital aerial image, Journal of Image and Graphics, 6, 9, pp. 745-748, (2004)
  • [2] Li D., Wang M., Pan J., Auto-dodging processing and its application for optical RS images, Geomatics and Information Science of Wuhan University, 9, 31, pp. 753-756, (2006)
  • [3] Zhang Z., Zhu B., Zhu S., Improved MASK dodging method based on wavelet, Journal of Remote Sensing, 6, pp. 1074-1081, (2009)
  • [4] Ebner M., Color constancy based on local space average color, Machine Vision and Applications, 20, 5, pp. 283-301, (2009)
  • [5] Sridharan M., Stone P., Color learning and illumination invariance on mobile robots: a survey, Robotics and Autonomous Systems, 57, 6-7, pp. 629-644, (2009)
  • [6] Land E.H., Mccann J., Lightness and Retinex theory, Journal of Optical Society of America, 61, 1, pp. 1-11, (1971)
  • [7] Land E.H., The Retinex theory of cooler vision, Scientific American, 12, pp. 108-129, (1977)
  • [8] Bertalmio M., Caselles V., Provenzi E., Issues about Retinex theory and contrast enhancement, International Journal of Computer Vision, 83, 1, pp. 101-119, (2009)
  • [9] Park Y.K., Park S.L., Kim J.K., Retinex method based on adaptive smoothing for illumination invariant face recognition, Singal Processing, 88, 8, pp. 1929-1945, (2008)
  • [10] Bertalmio M., Cowan J.D., Implementing the Retinex algorithm with Wilson-Cowan equations, Journal of Physiology-Paris, 103, 1-2, pp. 69-72, (2009)
1