multi focus image array

As a precision instrument the microscope is typically used by researchers in criminal investigation, information forensic, biology, metallography, etc. However, the traditional microscope has a dilemma that if it uses the higher magnification, its field of view will be smaller and its depth of field will be more limited. Hence, it seriously challenges the endurance and brain of the observer to observe an object thoroughly. This paper proposes a wide-field and full-focus imaging method for

solving above problem. Firstly, a high precision multi-focus image acquisition platform is improved, and its parameters can be used directly for image calculation, which greatly reduces the amount of calculation. Secondly, the focus area of each image is segmented by the mask generation algorithm based on graph cut. Thirdly, a fusion algorithm, contrast pyramid based on mask region (CPMR), is proposed, which utilizes the position of the clear area on the mask pyramid to guide the fusion of contrast pyramid. Finally, a fast and fault-tolerant stitching algorithm based on mechanical and optical parameters is proposed, which effectively eliminates the interference of the cumulative error and successfully completes hundreds of images stitching tasks. The experimental results demonstrate that the proposed imaging system is obviously superior to the traditional image fusion algorithms and image stitching approaches. The imaging effect and execution time is satisfactory.