Journal of Computer Applications ›› 2019, Vol. 39 ›› Issue (3): 882-887.DOI: 10.11772/j.issn.1001-9081.2018081688

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Image segmentation for complex voids and pits of bridge based on combination of HSI color space and gray fluctuation

YAO Xuelian1, HE Fuqiang1, PING An1, LUO Hong1, WAN Silu2   

  1. 1. College of Mechanical Engineering, Guizhou University, Guiyang Guizhou 550025, China;
    2. Guizhou Transport Science Research Institute Company Limited, Guiyang Guizhou 550025, China
  • Received:2018-08-15 Revised:2018-10-25 Online:2019-03-10 Published:2019-03-11
  • Supported by:

    This work is partially supported by the Science and Technology Project of Guizhou Provincial Transportation Science Research Institute Company Limited (GZJKY2017-20).


姚学练1, 贺福强1, 平安1, 罗红1, 万思路2   

  1. 1. 贵州大学 机械工程学院, 贵阳 550025;
    2. 贵州省交通科学研究院股份有限公司, 贵阳 550025
  • 通讯作者: 贺福强
  • 作者简介:姚学练(1994-),男,贵州荔波人,硕士研究生,主要研究方向:机器视觉检测、模式识别;贺福强(1975-),男,贵州遵义人,副教授,博士,主要研究方向:机器视觉检测、模式识别;平安(1994-),男,江西抚州人,硕士研究生,主要研究方向:机器视觉检测、模式识别;罗红(1994-),男,贵州遵义人,硕士研究生,主要研究方向:机器视觉检测、模式识别;万思路(1990-),男,贵州遵义人,硕士,主要研究方向:建筑与土木工程。
  • 基金资助:



As the voids and pits image of bridge often has uneven illumination and multi-background interference problems, an image segmentation algorithm for complex voids and pits of bridge was proposed based on HSI color space and gray fluctuation. Firstly, S-component gray curve was plotted and all the potential peaks and troughs of the curve were searched, then the height differences between adjacent peaks and thoughs were calculated. Secondly, partial height differences were selected based on the standard deviation of gray pixel difference value. Finally the threshold segmentation of image was finished by searching the best threshold based on the standard deviation of partial height differences. Experimental results show that the proposed algorithm has better segmentation effect and real-time performance than OTSU, Niblack and Tsallis entropy method.

Key words: color image, HSI space, gray fluctuation, height difference, standard deviation, image segmentation



关键词: 彩色图像, HSI空间, 灰度波动, 高度差, 标准差, 图像分割

CLC Number: