Multispectral micro-imaging field depth extension method and system

Abstract

The invention provides a multispectral micro-imaging field depth extension method and system. The method comprises the following steps: setting the gray value of each pixel point as a medium value of gray values of all pixel points in a specific neighborhood window of the pixel point, and carrying out noise filtering on a microscopic image; comparing difference between an original image obtained after expansion and an original image obtained after corrosion to obtain a morphological gradient; on the basis of the precondition that a neighborhood region of a clear area is clear, expanding the clear area through a morphological expansion method; carrying out expansion on the image and then, carrying out corrosion, and eliminating isolated points or an isolated point group lower than high bright point neighborhood points through a morphological close operation to obtain edge images; carrying out vertical comparison on the gray values of the obtained edge images to construct a height graph; and giving RGB values of the pixel points of the original image to a new composite image through the height graph to generate a final all-depth-of-field-fused image. Axial imaging range of the microscope is expanded without artificial interference; and the multispectral micro-imaging field depth extension method and system are high in accuracy, fast in speed and high in practicability.

Description

technical field [0001] The invention relates to the field of depth-of-field extension of microscopic images, in particular to a depth-of-field extension method and system for multi-spectral microscopic imaging. Background technique [0002] The depth of field of the microscope severely restricts the imaging range of the microscope in the direction of the optical axis. The depth of field expansion technology can enlarge the depth of field of the microscope several times and expand the axial imaging range of the microscope. Microscopic imaging systems can improve the lateral resolution of images, but this is at the expense of image depth of field. For the complex three-dimensional shape of the measured object, the three-dimensional dynamic change process such as the phase transition of the observation interface, the measured object and the optical axis direction, or other three-dimensional field of view with a large depth, it is often necessary to obtain a single image of all ...

AI Technical Summary

Problems solved by technology

Microscopic imaging systems can improve the lateral resolution of the image, but this is at the expense of the depth of field of the image

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