Gray correction method of two-dimensional image

A two-dimensional image and grayscale correction technology, which is applied in image enhancement, image analysis, image data processing, etc., to achieve the effect of reducing interference and high accuracy

Active Publication Date: 2018-05-11
湖南灵想科技股份有限公司
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  • Application Information

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Problems solved by technology

Although a variety of image smoothing and contrast enhancement algorithms are cur

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  • Gray correction method of two-dimensional image
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Embodiment Construction

[0018] Those skilled in the art will understand that although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish various elements from each other. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present invention. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. Those skilled in the art will further understand that the terms "comprising" and / or "comprising" when used herein specify the pre...

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Abstract

The embodiment of the invention provides a gray correction method of a two-dimensional image. The method comprises the steps of: dividing a two-dimensional image into a plurality of square subareas with the same quantity of pixel points, calculating one gray mean value and one standard difference in each subarea, selecting subareas having quantities of pixel points exceeding a preset threshold ascorrection subareas, wherein the absolute values of differences of the gray values and the mean values of the pixel points are larger twice than a standard difference, fitting a Gaussian distributioncurve according to the gray of each pixel point in subareas of all the non-correction subareas, and performing correction of the fitting Gaussian distribution curve in each correction subarea. The method can improve the contrast of a detection object and can improve the detection sensitivity.

Description

technical field [0001] The present disclosure relates to the field of image detection technology, and more specifically, to a two-dimensional graphic gray scale correction method. Background technique [0002] In the field of image detection, it is often necessary to use optical imaging or microscopic imaging to perform computer-aided analysis on detection objects including subtle features that are difficult to distinguish with naked eyes. Because image detection is often carried out on solutions, translucent or transparent substrates, gels, chemical mixtures or professional calibration reference objects, it is easy for various interference substances in the background to affect the detection of detection objects. However, the number of detected objects may be small, and often only a few pixels in the entire image can reflect the existence of detected objects. In order to distinguish these small numbers of detected substances from the image, manual processing may be require...

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Application Information

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IPC IPC(8): G06T5/00G06T7/11
CPCG06T5/008G06T7/11
Inventor 杨建军
Owner 湖南灵想科技股份有限公司
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