无线电工程2025，Vol.55Issue(3)：540-547,8.DOI:10.3969/j.issn.1003-3106.2025.03.010
基于改进直方图和模糊估计的多层次水下图像增强方法
Multilevel Underwater Image Enhancement Method Based on Improved Histogram Correction and Fuzzy Estimation
摘要
Abstract
Defects such as structural deterioration of underwater buildings pose significant safety risks to the operation of hydropower plants.As the main source for operation and maintenance personnel to understand the underwater situation,underwater building images play an important role in the detection of underwater defects.To tackle the problems of defect detection difficulties caused by blurring and colour distortion of underwater building images of hydropower stations,a multilevel underwater image enhancement algorithm based on Improve Histogram Correction and Fuzzy Estimation(IHCFE)is proposed.The Particle Swarm Optimization(PSO)algorithm is used to adaptively determine the cropping factor to obtain an adaptive contrast-enhanced image.Furthermore,the IBLA algorithm is employed to address the problem of color distortion in the image,subsequently yielding an image with corrected colors;Then,the Laplacian pyramid is used to decompose and fuse the above images layer by layer to obtain a multi-scale fused image;The original image,Contrast Limit Adaptive Histogram Equalization(CLAHE),Integrated Color Model(ICM),Convolutional Neural Network Model for Underwater Image Enhancement(UWCNN)and the enhanced image of the proposed algorithm are input into Fast RCNN to verify the object detection performance.The proposed algorithm has achieved the highest object detection accuracy,demonstrating the effectiveness and superiority of the proposed enhancement algorithm.关键词
粒子群算法/直方图均衡化/模糊估计/图像增强/目标检测Key words
PSO/histogram equalization/fuzzy estimation/image enhancement/object detection分类
信息技术与安全科学引用本文复制引用
张福林,何云,彭望,曹胜中,刘卫国,孙鹏..基于改进直方图和模糊估计的多层次水下图像增强方法[J].无线电工程,2025,55(3):540-547,8.基金项目
国家能源集团江西电力有限公司科技创新项目资助(CEZB230604485)Supported by CHN Energy Jiangxi Power Co.,Ltd.(CEZB230604485) （CEZB230604485）
