An Illumination Balance Algorithm Based on Improved Affine Shadow Formation Model for Underwater Image

被引:0
|
作者
Fan, Xinnan [1 ]
Wu, Peng [1 ]
Ni, Jianjun [1 ]
Shi, Pengfei [2 ]
机构
[1] Hohai Univ, Coll IOT Engn, Changzhou, Peoples R China
[2] Hohai Univ, Coll Comp & Informat, Changzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Underwater image; Illumination balance processing; Affine shadow formation model; Linear spatial filtering; Texture preserving; AUTOMATIC CRACK DETECTION; FACE RECOGNITION; INSPECTION; SYSTEM; NIGHT;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The uneven illumination distribution in underwater visual inspection will lead to the difficulty of extracting texture features. The underwater image illumination balance while keeping the texture details has been one of the key issues in underwater visual inspection. Aimed at this problem, a novel illumination balance algorithm based on improved affine shadow formation model is proposed in this study. In the proposed approach, the linear spatial filter is used to obtain the light intensity distribution of an image, and the original image is divided into a series of small strips of pixels based on the light intensity distribution. Then the illumination balance of the image is carried out based on an improved affine shadow formation model. The experimental results show that the proposed approach can deal with the uneven illumination problem in underwater image, and keep the texture details effectively, which is very important for the subsequent processing and analysis for underwater images.
引用
收藏
页码:910 / 916
页数:7
相关论文
共 50 条
  • [1] Underwater Image Restoration Based on An Improved Underwater Image Formation Model
    Fan, XinNan
    Zhou, Xuan
    Shi, PengFei
    Sun, HuanRu
    Ye, ShuYue
    2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP, 2022, : 95 - 99
  • [2] Underwater Image Mosaic Algorithm Based on Improved Image Registration
    Zhao, Yinsen
    Gao, Farong
    Yu, Jun
    Yu, Xing
    Yang, Zhangyi
    APPLIED SCIENCES-BASEL, 2021, 11 (13):
  • [3] Underwater image enhancement algorithm based on improved color-line model
    Liang, Xiuman
    Yao, Xinzhe
    Liu, Zhendong
    Yu, Haifeng
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2024, 39 (10)
  • [4] Underwater Image Restoration Based on A New Underwater Image Formation Model
    Zhang, Mohua
    Peng, Jianhua
    IEEE ACCESS, 2018, 6 : 58634 - 58644
  • [6] Low Illumination Image Enhancement based on Improved Retinex Algorithm
    Wang, Yuan-Bin
    Han, Qian
    Li, Yu-Jie
    Li, Yuan-Yuan
    Journal of Computers (Taiwan), 2022, 33 (01) : 127 - 137
  • [7] Denoising method of low illumination underwater motion image based on improved canny
    Lv, Hui
    Li, Haijun
    MICROPROCESSORS AND MICROSYSTEMS, 2021, 82
  • [8] Underwater Image Enhancement Based on the Improved Algorithm of Dark Channel
    Zhu, Dachang
    MATHEMATICS, 2023, 11 (06)
  • [9] Shadow Remover: Image Shadow Removal Based on Illumination Recovering Optimization
    Zhang, Ling
    Zhang, Qing
    Xiao, Chunxia
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 24 (11) : 4623 - 4636
  • [10] Low-Illumination Underwater Image Enhancement Based on White Balance and Relative Total Variation
    Zhang Wei
    Guo Jichang
    LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (12)