Non-invasive scattering imaging method beyond memory effect range based on connected component optimization

A non-invasive scattering imaging method beyond a memory effect range based on connected component optimization, comprising the following steps:

• A1:
• collecting speckle information of a to-be-imaged sample, wherein the to-be-imaged sample comprises continuous first and second objects whose sizes are within a memory effect range but distances are beyond the memory effect range;
• A2:
• calculating an autocorrelation image of the speckle information collected in step A1, and obtaining an autocorrelation graph according to the autocorrelation image;
• A3:
• obtaining a reconstruction result of the first object or the second object according to the autocorrelation graph of step A2, and optimizing the reconstruction result of the first object or the second object by using a connected component;
• A4:
• calculating and normalizing autocorrelation of the reconstruction result that is of the first object or the second object and that is optimized in step A3, and using the autocorrelation graph to calculate initial autocorrelation of the second object or the first object accordingly;
• A5:
• obtaining a reconstruction result of the second object or the first object accordingly according to the autocorrelation of the second object or the first object obtained in the previous step, optimizing the reconstruction result of the first object or the second object by using the connected component, calculating and normalizing autocorrelation of the optimized reconstruction result of the second object or the first object, and using the autocorrelation graph to calculate autocorrelation of the first object or the second object accordingly;
• A6:
• obtaining a reconstruction result of the first object or the second object accordingly according to the autocorrelation of the first object or the second object obtained in the previous step, optimizing the reconstruction result of the first object or the second object by using the connected component, calculating and normalizing autocorrelation of the optimized reconstruction result of the first object or the second object, and using the autocorrelation graph to calculate autocorrelation of the second object or the first object accordingly;
• and
• A7:
• repeating steps A5 and A6 until a predetermined loop count is reached, and then using a phase recovery algorithm and the calculated autocorrelation of the first object and the calculated autocorrelation of the second object to perform spatial reconstruction to achieve non-invasive imaging.