Microscope real-time image optimization method and system

A microscope system and real-time image technology, applied in the field of image processing, can solve problems such as Gaussian noise and affect the quality of microscopic images, and achieve the effects of low time complexity, significant noise reduction effect, and improved imaging experiment quality.

Pending Publication Date: 2022-04-15
GUANGZHOU COMPUTATIONAL SUPER RESOLUTION BIOTECH CO LTD
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AI Technical Summary

Problems solved by technology

The median filtering algorithm has a better effect on impulse noise, and can also eliminate salt and pepper noise, but it is less effective in eliminating Gaussian noise.
In the actual imaging process of the microscopic microscope system, there is a certain probability that Gaussian noise points will appear, which will affect the real-time microscopic image quality, and the use of the median filter algorithm to remove noise will take a certain amount of time, so the algorithm has certain limitations. , not suitable for use in real-time microscopy systems

Method used

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  • Microscope real-time image optimization method and system
  • Microscope real-time image optimization method and system
  • Microscope real-time image optimization method and system

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Embodiment Construction

[0038] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0039] Such as figure 1 As shown, the real-time image optimization method provided by the embodiment of the embodiment of the present invention includes:

[0040] Step 1. The noise scale coefficient of the microscope system to be optimized in a variety of imaging conditions is obtained, and the noise ratio coefficient of imaging system is calculated. system .

[0041] Step 2, get the original image is deducted with the P system The image grayscale maximum of the related noise g max .

[0042] Step 3, the original image is greater than the G maxThe pixel point value is set to g max And the original image is lower than g max The pixel point value remains unchanged and optimized.

[0043] The present embodiment exerts the composition of the microscope system, and the analysis signal is affected by the noise of the transmitted process, which is mainly affected by ...

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Abstract

The invention discloses a microscope real-time image optimization method and system, and the method comprises the steps: 1, carrying out the statistics of noisy point proportionality coefficients of a microscope system under various imaging conditions, and calculating the noisy point proportionality coefficient Psystem of the microscope system; step 2, deducting corresponding pixel points calculated by the Psystem in the original image to obtain a first image; step 3, obtaining the maximum gray value of the first image; and step 4, setting a pixel point value, which is greater than the maximum gray value of the first image, on the original image as the maximum gray value of the first image, keeping the other pixel point values unchanged, and obtaining an optimized image. The method has the advantages of remarkable denoising effect, high calculation speed and high signal fidelity, is very suitable for image optimization processing in real-time imaging of the microscope, and improves the imaging quality.

Description

Technical field [0001] The present invention relates to the field of image processing, particularly with respect to a microscope real-time image optimization method and system. Background technique [0002] Micro-imaging is one of the important technical means of studying life sciences. Surgery microscopic imaging techniques can reveal the mystery of life from the cell scale, and structural light super resolution imaging techniques can achieve long-term real-time observation of cells, organelles in real-time real time due to low light toxicity, high utilization rate and high time resolution. Motion collaboration process. In real-time micromatography, the fluorescent signal of the object is transmitted via an optical system, and then the precision camera is collected, and the electrical signal is transmitted, and the dynamic image of the cell is finally displayed on the terminal software. During the transfer of signals, it is inevitable due to the effect of noise, in particular th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 张良梁德伟
Owner GUANGZHOU COMPUTATIONAL SUPER RESOLUTION BIOTECH CO LTD
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