Mosaic of Printed Circuit Board Image Based on Gaussian-Hermite Moment Invariants

作     者：ZHANG Yuye YANG Bo 

作者机构：College of Physics and Electronics EngineeringXianyang Normal College School of AutomationNorthwestern Polytechnical University 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2017年第22卷第5期

页      面：380-386页

核心收录：

学科分类：07[理学] 08[工学] 

基　　金：Supported by the National Natural Science Foundation of China(61502389) the Foundation Research Funds for Central University(3102015ZY047) 

主　　题：image processing template matching Gaussian-Hermite moment invariants image mosaic 

摘      要：Quality inspection of a PCB （Printed Circuit Board） always requires us to stitch some separated images into an integral one. However, during image acquisition, some environmental influences such as vibration, noise and illumination will cause image degradation. An efficient image mosaic method has been urgently required to obtain a high-quality PCB panorama. Hence, an image mosaic method based on Gaussian-Hermite moments is presented in this paper. The characteristic points in the neighborhood of a PCB are represented by Gaussian-Hermite moment in- variants. They are characterized by independence to translation or rotation transformations. Meanwhile, such feature representation shows better noise robustness. Experimental results show that the proposed method produces a qualified mosaic of PCB image.