Image reconstruction method for realizing color marking of black and white camera image

Abstract

The invention provides an image reconstruction method for realizing color marking of a black-and-white camera image. The image reconstruction method comprises the following steps: controlling a black-and-white camera to respectively collect sample images of a target sample at different exposure times under red, green and blue monochromatic light sources; picking up a background reference target, adjusting the exposure time of image acquisition under the red light source, the green light source and the blue light source according to different bin modes, and fusing the adjusted three-color images to realize white balance; and merging the color image after white balance processing with the black and white sample image, outputting a reconstructed fusion image, and realizing fusion of the sample image and the color marking image. According to the invention, high sensitivity and photoelectric conversion efficiency of a black-and-white camera are kept, color distinguishing of strips is realized through color marker reconstruction, and the problem that a traditional black-and-white image is difficult to identify is solved; according to the method, white balance of color reconstruction is ensured through accurate control of the red light source, the green light source and the blue light source and adjustment of exposure time; multi-target strip synchronous recognition is remarkably improved, and the recognition efficiency is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of image processing technology, and in particular to an image reconstruction method for color-marking black-and-white camera images. Background Technology

[0002] In the field of life science instruments, chemiluminescence imagers are important devices for detecting chemiluminescence signals in biological samples. Traditional chemiluminescence imagers typically use monochrome cameras for image acquisition because monochrome cameras have higher photoelectric conversion efficiency and sensitivity than color cameras, enabling them to capture weak luminescence signals more clearly.

[0003] However, black-and-white cameras can only generate black-and-white images and cannot reproduce the true colors of the sample itself. In experimental analysis, researchers need to use markers to determine the molecular weight of the target band, but markers in black-and-white images are difficult to distinguish between different bands, forcing researchers to repeatedly compare with standard spectra for judgment. This not only results in low identification efficiency but is also prone to errors due to visual bias.

[0004] To address the aforementioned issues, existing technologies include replacing monochrome cameras with color cameras. However, color cameras have lower sensitivity and cannot meet the detection requirements of weak signals, thus limiting their application in chemiluminescence imaging. Additionally, some solutions achieve color imaging by adding a motorized filter wheel in front of a monochrome camera in conjunction with a three-color filter. However, this method is complex to operate, has a slow response time, and requires additional hardware support, increasing equipment cost and size.

[0005] Therefore, there is an urgent need for a method that can reconstruct color marker images while retaining the high sensitivity of a black and white camera, in order to improve experimental efficiency and the accuracy of results. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides an image reconstruction method for color marking in black and white camera images. This invention achieves the fusion of color markers and sample images without reducing imaging sensitivity, thereby improving stripe recognition efficiency.

[0007] The technical solution of the present invention is: an image reconstruction method for color marking of black and white camera images, comprising the following steps:

[0008] S1) Control the black and white camera to acquire sample images of the target sample at different exposure times under three monochromatic light sources: red, green, and blue.

[0009] S2) Pick up the background reference target, adjust the exposure time of the images acquired under the three light sources (red, green and blue) according to different bin modes, and fuse the adjusted three-color images to achieve white balance;

[0010] S3) Merge the white-balanced color image with the black-and-white sample image to output the reconstructed fused image, thus achieving the fusion of the sample image and the color marker image.

[0011] Preferably, in step S1), the installation positions of the three monochromatic light sources (red, green, and blue) satisfy the condition that the blue light is centered, the red light and green light are located on the upper and lower sides of the blue light respectively, and a milky white acrylic light-diffusing plate is provided in front of the light source.

[0012] Preferably, in step S2), the background parameter target is picked up based on the gray value of the liquid remaining at the edge of the PVDF film after the sample is injected with the luminescent liquid and the black background sample plate.

[0013] Preferably, in step S2), the light source sample images of red, green and blue monochromatic light sources collected in the same bin are processed with pseudo-color, and then the three-channel images after pseudo-color are merged. The merged image is then combined with the picked background reference target to remove the background and obtain the color-marked image.

[0014] Preferably, in step S2), the bin mode includes bin1, bin2, bin3, bin4, bin6, and bin8, with different exposure time parameters corresponding to different bin modes.

[0015] The beneficial effects of this invention are as follows:

[0016] 1. This invention retains the high sensitivity and photoelectric conversion efficiency of a black and white camera, while achieving color differentiation of stripes through color marker reconstruction, thus solving the problem of difficult recognition of traditional black and white images;

[0017] 2. This invention ensures the white balance of color reconstruction and improves the color reproduction of color markers by precisely controlling the red, green and blue light sources and adjusting the exposure time.

[0018] 3. This invention supports automatic or manual fusion of sample images and color marker images to meet the needs of different experimental scenarios, significantly improves the synchronous recognition efficiency of multi-target stripes, and reduces judgment errors;

[0019] 4. Compared with the filter wheel solution, the present invention does not require additional complex hardware, which reduces equipment costs, and has a faster response speed and simpler operation. Attached Figure Description

[0020] Figure 1 This is a schematic flowchart of the method of the present invention;

[0021] Figure 2 This is a sample image with color markings in an embodiment of the present invention. Detailed Implementation

[0022] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings:

[0023] like Figure 1 As shown, this embodiment provides an image reconstruction method for color-marking black-and-white camera images, including the following steps:

[0024] S1) Control the black and white camera to acquire sample images of the target sample at different exposure times under three monochromatic light sources (red, green, and blue), and store them as sample images in red, green, and blue channels respectively.

[0025] In this embodiment, a 5050 specification red, green and blue tri-color LED rigid light strip is used; the installation positions of the three monochromatic light sources are such that the blue light is centered, the red light and green light are located on the upper and lower sides of the blue light respectively, and a milky white acrylic light-diffusing plate is set in front of the light source.

[0026] S2) Pick up the background reference target, adjust the exposure time of the images acquired under the three light sources (red, green and blue) according to different bin modes, and fuse the adjusted three-color images to achieve white balance;

[0027] In this embodiment, the background parameter target is picked up based on the gray value of the liquid remaining at the edge of the PVDF film after the sample is injected with luminescent liquid and the black background sample plate.

[0028] For example, in the acquired image, the boundary area between the edge of the PVDF film (gray value of about 1200) and the black sample plate (gray value of about 50) is selected, and the average gray value of the background is calculated to be 800.

[0029] Furthermore, the bin modes include bin1, bin2, bin3, bin4, bin6, and bin8, with different exposure time parameters corresponding to different bin modes.

[0030] The exposure time for red light is 220 in bin1 mode, 55 in bin2 mode, 13 in bin3 mode, 6 in bin4 mode, 6 in bin6 mode, and 2 in bin8 mode; the exposure time for green light is 230 in bin1 mode, 60 in bin2 mode, 15 in bin3 mode, 10 in bin4 mode, 8 in bin6 mode, and 3 in bin8 mode; the exposure time for blue light is 180 in bin1 mode, 40 in bin2 mode, 8 in bin3 mode, 3 in bin4 mode, 2 in bin6 mode, and 1 in bin8 mode.

[0031] In this embodiment, firstly, a sample image excited by red light is acquired from the same bin, then a sample image excited by green light is acquired, and then a sample image excited by blue light is acquired. Then, the sample images of the corresponding light sources in the three channels are processed with pseudo-color. Specifically, the image acquired in the red light channel is processed with red pseudo-color, the image acquired in the green light channel is processed with green pseudo-color, and the image acquired in the blue channel is processed with blue pseudo-color. Then, the three pseudo-color images are superimposed according to pixel position to form an initial color image. The background is removed from the merged image by combining it with the picked background reference target, that is, the average gray value of the background is subtracted by 800, to obtain the color-marked image.

[0032] S3) Merge the white-balanced color image with the sample image and output the reconstructed fused image, thus achieving the fusion of the sample image and the color-marked image. In this embodiment, the images before and after marking are as follows: Figure 2 As shown.

[0033] In this embodiment, the fused image can be generated by automatic merging or by manual adjustment followed by merging.

[0034] Automatic merging: The software uses an image registration algorithm to align the color marker image with the sample black and white image by coordinates and merge them to generate a sample image with a color reference.

[0035] Manual merging: Provides an interactive interface where users can drag the color marker image to adjust its position, slide the slider to adjust the transparency (0-100%), and output the merging result after confirming.

[0036] In this embodiment, a protein sample containing five known molecular weight bands was selected, and imaging was performed using both conventional black-and-white imaging and the method of this invention. The results are as follows:

[0037] Traditional method: Identifying 5 bands takes an average of 45 seconds, with an error rate of 12% (misidentifying 1 band);

[0038] The method of this invention has an average recognition time of 15 seconds, an error rate of 0%, and clear correspondence between the stripe and marker colors.

[0039] Experiments have shown that this invention can significantly improve the efficiency and accuracy of strip recognition.

[0040] The embodiments and descriptions above are merely illustrative of the principles and preferred embodiments of the present invention. Various changes and modifications may be made to the present invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed.

Claims

1. A method for image reconstruction using color marking in black and white camera images, characterized in that, Includes the following steps: S1) Control the black and white camera to acquire sample images of the target sample at different exposure times under three monochromatic light sources: red, green, and blue. S2) Pick up the background reference target, adjust the exposure time of the images acquired under the three light sources (red, green and blue) according to different bin modes, and fuse the adjusted three-color images to achieve white balance; S3) Merge the white-balanced color image with the sample image and output the reconstructed fused image to achieve the fusion of the sample image and the color marker image.

2. The image reconstruction method for color marking of black and white camera images according to claim 1, characterized in that: In step S1), the installation positions of the three monochromatic light sources (red, green, and blue) are such that the blue light is centered, the red light and green light are located on the upper and lower sides of the blue light, respectively, and a milky white acrylic light-diffusing plate is placed in front of the light source.

3. The image reconstruction method for color marking of black and white camera images according to claim 2, characterized in that: The sample images are stored according to the red, green, and blue channels respectively.

4. The image reconstruction method for color marking of black and white camera images according to claim 1, characterized in that: In step S2), the background parameter target is picked up based on the gray value of the liquid remaining at the edge of the PVDF film after the sample is injected with the luminescent liquid and the black background sample plate.

5. The image reconstruction method for color marking of black and white camera images according to claim 1, characterized in that: In step S2), the light source sample images of red, green and blue monochromatic light sources collected in the same bin are processed with pseudo-color, and then the three-channel images after pseudo-color are merged. Finally, the background of the merged image is removed by combining the picked background reference target to obtain the color-marked image.

6. The image reconstruction method for color marking of black and white camera images according to claim 1, characterized in that: In step S2), the bin modes include bin1, bin2, bin3, bin4, bin6, and bin8; different bin modes correspond to different exposure time parameters.

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