A Noise Reduction Method for Base Image

Abstract

The invention provides a noise reducing method for a basic group image. The method is based on combined smoothing to inhibit gaussian noise in a biologic image, and comprises the following steps: acquiring the basic group in a fluorescence microscope; firstly aiming to a bright spot in the basic group image, and utilizing an FWHM algorithm to solve a parameter delta meeting the bright spot gray level distribution; then utilizing an LOG algorithm to detect the edge pixel of the bright spot, and saving the edge position image; finally using a two-sided filter to filter the image, wherein the two-sided filter not only can protect the edge pixel, but also can achieve a good noise reducing effect to the gaussian noise. The delta calculated by using the FWHM algorithm is used for detection of the LOG algorithm and filtering of the two-sided filter, compared the filtering calculated by using a fixed value and the edge detecting result, the result obtained by using the FWHM method is better; the method can effectively remove noise and retain the edge, and is good in robustness under the noise situation.

Description

Technical field [0001] The invention belongs to the field of digital image noise reduction, and specifically relates to a noise reduction method for base images. Background technique [0002] The first step of data analysis of bioengineering images is usually to extract the required data. The tool for observing base images in biology is a fluorescence microscope. The image will be marked with fluorescent protein and marked as bright spots in the base image. Digital image analysis can not only quantify these image data, but also confirm the biological processes observed by the fluorescence microscope. [0003] However, obtaining accurate and complete data from base images is still a challenge. In many cases, the quality of the picture is very low due to the limitation of the process of obtaining the picture. Especially in the process of acquiring pictures of living cells, the light intensity will be reduced to a minimum to prevent photobleaching, which will result in a low signal...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problems in the prior art, the present invention provides a noise reduction method for base images, which can solve the problem of using traditional filtering techniques in the prior art, such as Gaussian filtering, mean filtering, median filtering, etc. The noise reduction effect of the image taken by the fluorescence microscope is not good, so as to avoid the blurring of the image caused by the use of filter noise reduction, which will affect the edge features of the image and interfere with the feature extraction of the next image.

At the same time, the problem that parameters cannot be adjusted according to empirical values ​​is solved, and the method of the present invention can adjust parameters adaptively

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