基于Retinex去雾算法的水射流辅助激光加工特征图像融合算法  

Image Fusion Algorithm of Waterjet-Assisted Laser Processing Features Based on Retinex Dehazing Algorithm

作　　者：李英[1,2] 李欣玥[1,2] 王佳琦 许金凯[2] 于化东[2,3] Li Ying;Li Xinyue;Wang Jiaqi;Xu Jinkai;Yu Huadong(School of Opto-Electronic Engineering,Changchun University of Science and Technology,Changchun 130022,Jilin,China;Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing,Changchun University of Science and Technology,Changchun 130022,Jilin,China;School of Mechanical and Aerospace Engineering,Jilin University,Changchun 130025,Jilin,China)

机构地区：[1]长春理工大学光电工程学院,吉林长春130022 [2]长春理工大学跨尺度微纳制造教育部重点实验室,吉林长春130022 [3]吉林大学机械与航空航天工程学院,吉林长春130025

出　　处：《中国激光》2023年第24期59-68,共10页Chinese Journal of Lasers

基　　金：国家自然科学基金(U19A20103);高等学校学科创新引智“111”计划(D17017)。

摘　　要：为了在水射流辅助激光加工过程中更加高效地观测工件表面的结构特征,本文提出了一种基于Retinex去雾算法的水射流辅助激光加工图像融合算法。首先,利用基于形态学理论的自适应性Retinex去雾算法解决水射流导致的气泡和表面模糊问题。通过图像区块的标准差值计算细节指数,确定高斯滤波函数的尺度,并计算单尺度函数线性叠加的权重。其次,采用离散小波变换分解聚焦区域不同的源图像序列,并根据人眼视觉原理拉伸细节分量。最后利用离散小波逆变换将分量重新融合,得到可以增强细节信息的全聚焦图像。当水射流喷嘴直径为0.4 mm时,算法处理后的图像的标准差、平均梯度和空间频率分别可以达到参考图像的95.41%、71.88%和67.29%;当射流倾斜角为45°时,上述三个指标分别达到了参考图像的90.59%、72.69%和94.50%。这表明本文所提算法有效提升了图像质量,对于在不同加工情况下获得的图像均可实现较好的处理效果,同时有助于提高加工效率。Objective Waterjet-assisted laser processing technology provides a new direction in the development of laser processing that can effectively mitigate thermal damage to materials during laser processing;thus,it has good prospect for microfabrication applications.During processing,the quality of the material surface can be inspected in real time,and the introduction of microscopic systems can provide a more convenient observation of material processing details as well as improve the corresponding efficiency.However,because of the interference of the waterjet,bubbles are present in the source image captured by the CCD camera,obscuring detailed information and blurring the surface.In addition,the source image sequence is only partially focused because of the limited depth-offield of the microscope system.To enhance the detail of surface features of materials for the purpose of dehazing,an image processing technique is employed to improve the contrast of an image by emphasizing the respective brightness,saturation,and textural features of local areas.However,conventional dehazing algorithms begin with the image itself.Without considering that the local area processing method has problems including loss of detailed information and excessive contrast enhancement,development of an image dehazing method for the local areas of different images is necessary.In the traditional microscope mode,the effect of extending the depth-of-field can be achieved via component deformation;however,this has reduced efficiency,large equipment size,and low lateral resolution.Currently,image fusion based on the transform domain is a popular research topic,and is one of the most widely used and mature methods in practical applications.Methods This study solves the problems of waterjet interference and image fusion.Bubbles were maximally reduced via foreground segmentation and morphological theory,and the detailed information of the source images was enhanced according to the adaptive multiscale Retinex dehazing algorithm.After dividing the ima

关 键 词：图像处理 水射流辅助激光加工 Retinex去雾算法 离散小波变换 图像融合 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]