Computer Science ›› 2024, Vol. 51 ›› Issue (6A): 230300187-5.doi: 10.11896/jsjkx.230300187

• Image Processing & Multimedia Technolog • Previous Articles     Next Articles

Mark Line Image Enhancement Method in Complex Illumination Environment

WU Jing, FAN Shaosheng, HU Chengyang   

  1. School of Electrical and Information Engineering,Changsha University of Science and Technology,Changsha 410114,China
  • Published:2024-06-06
  • About author:WU Jing,born in 1997,master,is a member of CCF(No.O6995G).His main research interest is artificial intelligence image processing.
    FAN Shaosheng,born in 1966,professor.His main research interest is electric robot.

Abstract: In the process of driving,autonomous vehicles need to recognize road sign lines to ensure that they stay in the lane.Substation inspection robots realize accurate inspection by recognizing road sign lines.However,due to the influence of complex lighting environment,road sign line information is difficult to be accurately extracted.However,the traditional image enhancement methods can not produce good enhancement effect on all road sign line images in complex lighting environment,so this paper proposes a road sign line image enhancement method in complex lighting environment.The luminance difference of the luminance image in the HSV color gambit space is processed by layers.The image with high luminance difference is enhanced by the method of adaptive gamma correction.For the image with low luminance difference,histogram conical stretching is first used to enlarge the image gray level,and then adaptive gamma correction is used to enlarge the image contrast.Experimental results show that this algorithm can effectively solve the problem of road sign line recognition caused by low illumination,exposure and other complex lighting environment,and is an effective image enhancement method.

Key words: Image enhancement, Gamma correction, Histogram conical stretching, HSV color space, Complex illumination

CLC Number: 

  • TP391
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