高灰阶X射线底片自适应HSV增强算法研究  

Adaptive HSV enhancement algorithm for high grayscale X-ray films

作　　者：李亮亮 王鹏[1,2] 任佳[1,3] 吕志刚 骆成[2] 李晓艳 LI Liangliang;WANG Peng;REN Jia;LYU Zhigang;LUO Cheng;LI Xiaoyan(School of Mechatronic Engineering,Xi’an Technological University,Xi’an 710021,China;School of Electronics and Information Engineering,Xi’an Technological University,Xi’an 710021,China;School of Information and Communication Engineering,Hainan University,Haikou 570228,China)

机构地区：[1]西安工业大学机电工程学院,陕西西安710021 [2]西安工业大学电子信息工程学院,陕西西安710021 [3]海南大学信息与通信工程学院,海南海口570228

出　　处：《计算机集成制造系统》2025年第4期1237-1246,共10页Computer Integrated Manufacturing Systems

基　　金：国家自然基金资助项目(62171360);陕西省杰出青年科学基金资助项目(2024JC-JCQN-57);西安市未央区秦创原科技成果转化资助项目(202416)。

摘　　要：针对现有高灰阶图像增强算法鲁棒性欠佳,自适应能力不足的问题,提出一种能够自适应增强处理高位图像的增强算法。首先,为了补偿原始底片亮暗不明的现象,设计了基于灰度先验的自适应校正算法;其次,提出一种新的高位HSV伪彩色增强算法;另外,为了保证增强后图像的均衡性,提出了基于明度通道的自适应均衡处理算法;最后,在工业焊接制造领域产生的12位X射线底片图像上进行了增强效果分析。实验结果表明,该方法能够在不显著增加算法复杂度的前提下,在多种不同测试样本上均能得到最佳的增强效果。Aiming at the existing high grayscale image enhancement algorithms with poor robustness and insufficient adaptive capability,an enhancement algorithm capable of adaptively enhancing the processed high-bit images was proposed.To compensate for the brightness and darkness of the original film,an adaptive correction algorithm based on the grayscale prior was designed,and a new high-level HSV pseudo-color enhancement algorithm was presented.In addition,to ensure the balance of the enhanced image,an adaptive balance processing algorithm based on the brightness channel was proposed.Finally,the enhancement effect was performed on the 12-bit X-ray negative image generated in the industrial welding manufacturing field.The experimental results showed that the proposed method could achieve the best enhancement effect on many different test samples without significantly increasing the complexity of the algorithm.

关 键 词：自适应图像增强 高灰阶 X射线焊缝缺陷 灰度先验 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] O434.19[自动化与计算机技术—计算机科学与技术]