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Color image enhancement method for metrological microscopy

A color image and microscope technology, applied in image enhancement, image data processing, computing, etc., can solve the problems of color image distortion and other problems, achieve the effect of increasing saturation, suppressing whitening, and eliminating edge blur and halo phenomenon

Active Publication Date: 2017-05-31
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the invention is to solve the problem that the color distortion of the color image will be caused when the traditional enhancement technology is used to enhance the color image. The invention provides a color image enhancement method for a metrology microscope

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  • Color image enhancement method for metrological microscopy
  • Color image enhancement method for metrological microscopy
  • Color image enhancement method for metrological microscopy

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specific Embodiment approach 1

[0038] Specific embodiment one: a color image enhancement method of a metrology microscope described in this embodiment, the method includes the following steps:

[0039] Step 1: Convert the RGB image collected by the biological microscope to the HIS space, and obtain the three components of the image in the HIS space, which are the original chromaticity component H(x,y), the original brightness component I(x,y) and the original Saturation component S(x, y); wherein, (x, y) represents the coordinates of the pixel point;

[0040] Step 2: use the Retinex algorithm to process the original luminance component I(x, y) to obtain the processed luminance component r(x, y), and then perform local contrast enhancement on the processed luminance component r(x, y), Obtain new brightness component I' (x, y); The value of scale parameter c in the described Retinex algorithm is 15, 80 or 250;

[0041] Step 3: Perform adaptive saturation compensation on the original saturation component S(x,...

specific Embodiment approach 2

[0045] Specific embodiment two: the difference between this embodiment and the color image enhancement method of a metrology microscope described in specific embodiment one is that the surround function expression of the Retinex algorithm is:

[0046] Among them, F(x,y) represents the Gaussian convolution kernel function, k represents the coefficient, and e represents the natural exponent.

specific Embodiment approach 3

[0047] Specific Embodiment 3: The difference between this embodiment and the color image enhancement method of a metrology microscope described in Embodiment 1 or 2 is that in step 2, the processed brightness component r(x, y) The specific process of performing local contrast enhancement to obtain a new brightness component I′(x,y) is:

[0048] Step 21, using the following formulas 1 and 2 to obtain the local details re(x,y) of the brightness component,

[0049]re(x,y)=r(x,y)-ravg(x,y) (Formula 1),

[0050] ravg(x,y)=F(x,y)*r(x,y) (Formula 2),

[0051] Step 22, perform gamma transformation on the obtained local details re(x, y) of the brightness component to obtain rn(x, y), where,

[0052] rn(x,y)=sign(re(x,y))|re(x,y)| r (Formula 3),

[0053] Step two and three, add rn(x, y) and r(x, y), and then convert to the real number domain, so as to obtain a new brightness component I'(x, y);

[0054] Among them, rn(x, y) is the local detail obtained after gamma transformation o...

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Abstract

A color image enhancement method for a metrological microscopy belongs to the fields of optical micro-techniques and metrological testing techniques and solves the problem of color distortion of a color image caused by enhancing the color image by use of a conventional enhancement technique. In the method, an image is directly transformed to an HSI (Hue, Saturation and Intensity) space by use of a Retinex algorithm, then the image can be transformed from an RGB (Red, Green, Blue) color space to the HSI color space, an original chrominance component H(x,y) is kept unchanged, but an original luminance component I(x,y) and an original saturation component S(x,y) are changed; and then the image is transformed to the RGB space through an inverse operation. Therefore, a lot of operation time can be saved; and since the original chrominance component H(x,y) is not changed, the final color tone of the image is supposed to remain unchanged, the color distortion is not caused. The color image enhancement method for the metrological microscopy is mainly used for processing the color image.

Description

technical field [0001] The invention belongs to the technical field of optical microscopic technology and measurement test. Background technique [0002] The current process of image processing is to add one-dimensional color information on the basis of the three-dimensional height information of the sample measured by the confocal microscope to form a four-dimensional information map that can directly reflect the material and shape of the sample. The three-dimensional height information can be obtained by the confocal microscope. The measured tomographic data is processed to get more accurate results, and the color information of each position of the sample is obtained by taking pictures of the color CCD, but the brightness and contrast of the pictures obtained by taking the color CCD are not high, and the color is very dim, so As a result, the recognizability of the color picture is not good, and the display effect of directly adding the color information to the three-dime...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/94G06T5/73
Inventor 刘俭谭久彬李勇牛斌
Owner HARBIN INST OF TECH
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