Full-scanning microscopic image splicing method based on peak search and gray template registration

Abstract

The invention provides a full-scanning microscopic image splicing method based on peak search and gray template registration, and belongs to the field of image processing. The invention provides a method for selecting a discontinuous focusing region based on a gray histogram. The method comprises the following steps of: extracting a region mainly acted by an evaluation function; making definitioncalculation through an improved Tenegrad gradient evaluation function; and gradually obtaining an optimal focusing position by using an improved hill climbing algorithm; preprocessing the dyed urinarysediment microscopic image through graying and filtering operation; to acquire a smooth gray-scale image with a small calculated amount performing registration on adjacent images by using an improved template registration algorithm based on a gray-scale value, and finally fusing an overlapping region of two images by using an improved fusion method based on a variable weight. The problem of automatic focusing of the sample is solved, the microscopic image can be rapidly and accurately obtained, the problem of microscopic image splicing is also solved, and the image splicing time is also reduced.

Description

technical field [0001] The invention relates to an image mosaic method, in particular to a full-scan microscopic image mosaic method based on peak search and gray scale template registration, and belongs to the field of image processing. Background technique [0002] Diabetes has become a high-incidence disease that endangers health in recent years. The method of counting cells based on stained urine sediment is a key technology for diagnosing early kidney damage in diabetes. In view of the inability to obtain the full field of view of the sample, the traditional counting method can only manually select a sample area, and then estimate it by the method of the cell counting plate. Due to the uneven distribution of cells in the stained urine sediment, the results of this estimation method are usually very inaccurate, and in severe cases, it will lead to misdiagnosis, so it is very important to obtain a complete microscopic image of the stained urine sediment sample. [0003] ...

AI Technical Summary

Problems solved by technology

In comparison, foreign research in related fields was carried out earlier, and the equipment currently developed has higher accuracy and stability, but the price is relatively expensive; while domestic equipment has technical defects, and some expansion has not been realized during design. Sexual functions: For example, there is no automatic focus when moving, the success rate of image stitching is not high, and it cannot be applied to special stitching scenes, etc.

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