斑点图案                        
                
                                
                        
                            光学                        
                
                                
                        
                            干涉测量                        
                
                                
                        
                            卷积神经网络                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            人工智能                        
                
                                
                        
                            深度学习                        
                
                                
                        
                            粒子(生态学)                        
                
                                
                        
                            干扰(通信)                        
                
                                
                        
                            迭代重建                        
                
                                
                        
                            相关系数                        
                
                                
                        
                            散斑成像                        
                
                                
                        
                            模式识别(心理学)                        
                
                                
                        
                            物理                        
                
                                
                        
                            计算机视觉                        
                
                                
                        
                            地质学                        
                
                                
                        
                            机器学习                        
                
                                
                        
                            频道(广播)                        
                
                                
                        
                            海洋学                        
                
                                
                        
                            计算机网络                        
                
                        
                    
            作者
            
                Wenbo Fan,Jinlu Sun,Yue Qiu,Yuhang Wu,Shengyong Chen            
         
                    
            出处
            
                                    期刊:Applied Optics
                                                         [Optica Publishing Group]
                                                        日期:2022-10-13
                                                        卷期号:61 (32): 9595-9595
                                                        被引量:6
                                 
         
        
    
            
        
                
            摘要
            
            Interferometric particle imaging (IPI) technology is widely used in the measurement of various particles. Obtaining particle shape information directly by IPI is challenging because of the complex relationship between the speckle distribution of interference-defocused speckle patterns and the shape of the corresponding irregular particles. Considering this challenge, we implement a deep learning method based on the convolutional neural network (CNN) to reconstruct defocused images of sand particles with sparse features. We also introduce the negative Pearson correlation coefficient as the loss function. To verify the feasibility of our method, we implemented it to reconstruct defocused images obtained from IPI experiments. Finally, compared with another common CNN-based structure, we confirmed that our network structure has good performance in the shape reconstruction of irregular particles.
         
            
 
                 
                
                    
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