A real-time stitching method for microscopic images based on improved ORB algorithm
The combination of industrial microscopy and image stitching technology is widely used in the field of micro-inspec-tion,where the creation of high-resolution,large-scene micro-images allows for a wide range of surface quality assessment and de-fect detection of semiconductor materials or electronic devices.However,in the splicing process,the high resolution of microscopic images,rich feature information and the existence of a large number of similar regions lead to low image alignment accuracy and long splicing time.To address this situation,this paper proposes a real-time splicing method for microscopic images based on the improved ORB algorithm to achieve fast alignment and fusion.Firstly,the initial estimation of the overlapping region is obtained by phase corre-lation method,then the feature points are detected in the overlapping region image by the improved FAST algorithm,and the BRIEF descriptor is replaced by the BEBLID descriptor for the characterization,after that,the GMS algorithm is used for the coarse matching of the feature points and the improved RANSAC algorithm is used for the fine matching and the calculation of the transformation matrix to complete the image alignment,and finally,the nonlinear weight fusion method is proposed to achieve the rapid alignment and fu-sion.Finally,the image stitching is completed by nonlinear weight fusion.The experimental results show that the method proposed in this paper can maintain a high level of accuracy while having good real-time performance,and has good robustness in different chan-ging scenarios of images,which can meet the requirements of real-time splicing of microscopic images.
万方数据
维普
