A real-time large-scale image synthesis algorithm for a microscope system

Abstract

The invention discloses a real-time large-scale image synthesis algorithm of a microscopic system, which relates to the technical field of microscopic optical imaging and image processing. The algorithm adopts a multi-threaded parallel image acquisition method, which is convenient and fast; Extracting features from the region of interest ROI avoids the calculation of feature points that do not contribute to the composite image, greatly reduces the calculation time and steps, avoids the influence of wrong feature points, and improves the accuracy and efficiency of the extracted feature points ;Under the GPU acceleration environment, the matching pair sets of each image are calculated in parallel according to the method from dense to sparse, which greatly reduces the calculation of the sparse area of ​​​​feature points, and gives priority to the matching of dense feature sets, which improves the processing efficiency and Accuracy; the optimal matching pair is screened based on the length and slope of the reference line, which simplifies the calculation process; the algorithm is easy to realize real-time large-scale image synthesis of the microscopic system.

Description

technical field [0001] The invention relates to the technical field of microscopic optical imaging and image processing, in particular to a real-time large-scale image synthesis algorithm for a microscopic system. Background technique [0002] Due to the limitations of optical imaging principles, the field of view of traditional optical microscopes is limited to a relatively small range, and the field of view of most traditional optical microscopes (10×) is limited to less than 2.5mm, and relatively awkward scanning is used The method (lens scanning, turntable scanning) and the way of moving the stage are used for microscopic imaging. This not only brings great inconvenience to the observation of a specific area of ​​the sample, especially the control of local details in the area of ​​interest, but also is powerless to quickly observe small objects in a large area. Processing time in the microscope field is precious, and it is unscientific to scan and go back to process the...

AI Technical Summary

Problems solved by technology

However, although there are already image synthesis algorithms that can be used for microscopic imaging, traditional image synthesis algorithms either cannot perform real-time imaging due to their slow speed, and often adopt the method of collecting and saving images before selecting post-processing; Due to low precision and other reasons, large-scale imaging cannot be formed, which has caused great trouble to our real-time large-scale microscopic imaging

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