铁道标准设计2016，Vol.60Issue(11)：41-44,4.DOI:10.13238/j.issn.1004-2954.2016.11.011
基于高通滤波和直方图均衡的钢轨裂纹红外图像增强技术
Infrared Image Enhancement Technology Based on High Pass Filter and Histogram Equalization for Rail Crack Detection
摘要
Abstract
Low contrast and noise of infrared image acquisition process of rail crack in the traditional histogram equalization method may lead to infrared image edge blur and information loss in infrared image enhancement. In this paper, an infrared image enhancement algorithm based on the combination of frequency domain and spatial domain is proposed to make up for the inefficiencies of the traditional algorithm in infrared image enhancement. Histogram equalization is used in the spatial domain to deal with infrared image, which improves the gray contrast of the image. While, in the frequency domain, high pass filter is employed to sharpen the infrared image and enhance the edge of the image and details. Simulation results show that the algorithm in rail crack infrared image enhancement can better suppress background noise, effectively highlight rail crack faint details, protect the details of the image information, facilitate extraction of rail crack defect information.关键词
裂纹红外图像/灰度级/图像增强/直方图均衡化/图像锐化Key words
Crack infrared image/Gray level/Image enhancement/Histogram equalization/Image sharpening分类
交通工程引用本文复制引用
贾文晶,顾桂梅,刘丽..基于高通滤波和直方图均衡的钢轨裂纹红外图像增强技术[J].铁道标准设计,2016,60(11):41-44,4.基金项目
甘肃省科技计划资助(1598RJZA059) （1598RJZA059）
