# US 12,602,776 B2 · Method and apparatus for analyzing biochip image, computer device, and storage medium > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,602,776 B2 - Document ID: US12602776B2 - Status: Granted - Kind: B2 - Application number: 17/927,025 - Filed: 2021-02-23 - Published: 2023-07-20 - Granted: 2026-04-14 - Earliest claimed: 2021-02-23 - Assignees: Boe Technology Group Co., Ltd. - Applicants: Boe Technology Group Co., Ltd. - Inventors: Qiong Wu; Mengjun Hou; Xiangguo Ma; Kai Geng; Zhukai Liu - Web page: https://patentgrep.com/patent/US12602776B2 ## CPC - G06T 5/80: Geometric correction - G06T 7/0012: {Biomedical image inspection} - G01N 21/6456: {Spatial resolved fluorescence measurements; Imaging} - G06T 3/40: Scaling of whole images or parts thereof, e.g. expanding or contracting - G06T 5/20: using local operators - G06T 5/50: using two or more images, e.g. averaging or subtraction - G06T 5/70: Denoising; Smoothing - G06T 7/11: Region-based segmentation - G06T 7/77: using statistical methods - G06T 7/80: Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration - G01N 21/6452: {Individual samples arranged in a regular 2D-array, e.g. multiwell plates} - G06T 2207/10064: Fluorescence image - G06T 2207/20061: Hough transform - G06T 2207/20224: Image subtraction - G06T 2207/30024: Cell structures in vitro; Tissue sections in vitro - G06T 2207/30072: Microarray; Biochip, DNA array; Well plate - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) ## Abstract A method for analyzing a biochip image is provided, including: (S1) acquiring and preprocessing the biochip image to obtain a preprocessed image; (S2) performing a correction for angle deflection on the preprocessed image to obtain a deflection-corrected image; and (S3) performing an enhancement processing on the deflection-corrected image, and identifying a positive or negative of an area of interest in the preprocessed image according to an image on which the enhancement processing has been performed. An apparatus (100) for analyzing a biochip image, a method for analyzing an image, a computer device (200) and a storage medium are disclosed. ## Claims ### Claim 1 A method for analyzing a biochip image, comprising: acquiring and preprocessing the biochip image to obtain a preprocessed image; performing a correction for angle deflection on the preprocessed image to obtain a deflection-corrected image; and performing an enhancement processing on the deflection-corrected image, and identifying a positive or negative of an area of interest in the preprocessed image according to an image on which the enhancement processing has been performed; wherein the performing a correction for angle deflection on the preprocessed image to obtain a deflection-corrected image comprises: selecting a preset number of detection areas in the preprocessed image; detecting a center and a radius of each area of interest in each detection area by using a Hough circle transformation; and forming a circle according to the center and the radius of each area of interest, to determine the area of interest and segment the area of interest; wherein the performing a correction for angle deflection on the preprocessed image to obtain a deflection-corrected image comprises: performing an expansion processing on the segmented image to connect adjacent areas of interest in a preset direction; performing a principal component analysis on a contour of the detection area having a maximum contour in the image on which the expansion processing is performed, to obtain a contour direction; and determining an image deflection angle according to the contour direction, to correct the preprocessed image and to obtain the deflection-corrected image; wherein the performing a correction for angle deflection on the preprocessed image to obtain a deflection-corrected image comprises: enlarging the selected area by a preset proportion, to randomly select the preset number of detection areas in the preprocessed image again; and repeatedly and iteratively detecting the image deflection angle until the image deflection angle is smaller than a preset angle threshold, to obtain the deflection-corrected image; wherein a range of the preset angle threshold is determined by a following conditional expression: cos ⁢ θ - ( max ⁢ { m , n } - 1 ) · sin ⁢ θ > 2 ⁢ rad dist where θ is the preset angle threshold, dist is the area interval of the areas of interest, rad is an area radius of the area of interest, m is the number of rows of the areas of interest in each detection area, and n is the number of columns of the areas of interest in each detection area. ### Claim 2 (depends on 1) The method according to claim 1, wherein the performing a correction for angle deflection on the preprocessed image to obtain a deflection-corrected image comprises: enlarging the selected area by a preset proportion, to randomly select the preset number of detection areas in the preprocessed image again; and repeatedly and iteratively detecting the image deflection angle for a preset number of times, to obtain the deflection-corrected image. ### Claim 3 (depends on 1) The method according to claim 1, wherein the performing an enhancement processing on the deflection-corrected image, and identifying a positive or negative of an area of interest in the preprocessed image according to an image on which the enhancement processing is performed comprises: constructing a notch filter; and filtering the deflection-corrected image by using the notch filter, to obtain an image with enhanced periodic patterns. ### Claim 4 (depends on 3) The method according to claim 3, wherein the performing an enhancement processing on the deflection-corrected image, and identifying a positive or negative of an area of interest in the preprocessed image according to an image on which the enhancement processing is performed comprises: performing a smooth filtering processing on the image with enhanced periodic patterns by using a box filter; integrating pixel values of the image on which the smooth filtering processing is performed in a horizontal direction and a vertical direction, to obtain a first integral curve in the horizontal direction and a second integral curve in the vertical direction, respectively, and taking a set of minimum points of the first integral curve and the second integral curve to determine a grid spacing line; and dividing grid areas according to the grid spacing line. ### Claim 5 (depends on 4) The method according to claim 4, wherein a length or width of an operator of the box filter satisfies a following conditional expression: ⌈ d ⁢ i ⁢ s ⁢ t 2 - rad ⌉ < b < ⌈ d ⁢ i ⁢ s ⁢ t 2 ⌉ where b is the length or width of the operator of the box filter; dist is the area interval of the areas of interest, rad is an area radius of the area of interest. ### Claim 6 (depends on 4) The method according to claim 4, wherein the performing an enhancement processing on the deflection-corrected image, and identifying a positive or negative of an area of interest in the preprocessed image according to an image on which the enhancement processing is performed comprises: throughout the grid areas, solving a mean square error of pixel values of each grid area corresponding to the preprocessed image; marking the corresponding sample of the area of interest as positive in response to the mean square error being greater than a mean square error threshold; and marking the corresponding sample of the area of interest as negative in response to the mean square error being not greater than the mean square error threshold. ### Claim 7 (depends on 1) The method according to claim 1, further comprising: outputting an identification result for the positive or negative of the area of interest. ### Claim 8 (depends on 1) A non-transitory computer-readable storage medium storing computer programs thereon, wherein the computer programs, when executed by one or more processors, implement the method for analyzing a biochip image according to claim 1. ### Claim 9 (depends on 1) The method according to claim 1, wherein the acquiring and preprocessing the biochip image to obtain a preprocessed image comprises: acquiring an original image, a camera intrinsic parameter matrix and a distortion coefficient; and correcting the original image according to the camera intrinsic parameter matrix and the distortion coefficient to obtain the biochip image. ### Claim 10 (depends on 9) The method according to claim 9, further comprising: calibrating the camera for shooting by using a calibration plate and by adopting a traditional calibration method, to obtain the camera intrinsic parameter matrix and the distortion coefficient. ### Claim 11 (depends on 9) The method according to claim 9, wherein the original image is a fluorescent image of a biochip in which a biochemical reaction has occurred. ### Claim 12 (depends on 1) The method according to claim 1, wherein the preprocessed image comprises an image having a high-frequency component, and the acquiring and preprocessing the biochip image to obtain a preprocessed image comprises: performing a Gaussian filtering processing on the biochip image to obtain an image having a low-frequency component; and subtracting the image having the low-frequency component from the biochip image to obtain the image having the high-frequency component. ### Claim 13 (depends on 1) The method according to claim 1, wherein the selecting a preset number of detection areas in the preprocessed image comprises: selecting a corresponding detection area within a predetermined area of the preprocessed image. ### Claim 14 (depends on 1) The method according to claim 1, wherein each detection area is a rectangular area, and comprises at least two rows or at least two columns of areas of interest. ### Claim 15 An apparatus for analyzing a biochip image, comprising: an acquisition module configured to acquire and preprocess the biochip image to obtain a preprocessed image; a correction module configured to perform a correction for angle deflection on the preprocessed image to obtain a deflection-corrected image; and a processing module configured to perform an enhancement processing on the deflection-corrected image, and identify a positive or negative of an area of interest in the preprocessed image according to an image on which the enhancement processing has been performed; wherein the correction module is further configured to: select a preset number of detection areas in the preprocessed image; detect a center and a radius of each area of interest in each detection area by using a Hough circle transformation; and form a circle according to the center and the radius of each area of interest, to determine the area of interest and segment the area of interest; wherein the correction module is further configured to: perform an expansion processing on the segmented image to connect adjacent areas of interest in a preset direction; perform a principal component analysis on a contour of the detection area having a maximum contour in the image on which the expansion processing is performed, to obtain a contour direction; and determine an image deflection angle according to the contour direction, to correct the preprocessed image and to obtain the deflection-corrected image; wherein the correction module is further configured to: enlarge the selected area by a preset proportion, to randomly select the preset number of detection areas in the preprocessed image again; and repeatedly and iteratively detect the image deflection angle until the image deflection angle is smaller than a preset angle threshold, to obtain the deflection-corrected image; wherein a range of the preset angle threshold is determined by a following conditional expression: cos ⁢ θ - ( max ⁢ { m , n } - 1 ) ⁣ · sin ⁢ θ > 2 ⁢ rad d ⁢ i ⁢ s ⁢ t where θ is the preset angle threshold, dist is the area interval of the areas of interest, rad is an area radius of the area of interest, m is the number of rows of the areas of interest in each detection area, and n is the number of columns of the areas of interest in each detection area. ### Claim 16 (depends on 1) A computer device, comprising a processor and a memory, wherein the memory stores computer programs thereon which, when executed by the processor, implement the method for analyzing a biochip image according to claim 1. ### Claim 17 (depends on 15) The apparatus according to claim 15, wherein the acquisition module is further configured to: acquire an original image, a camera intrinsic parameter matrix and a distortion coefficient; and correct the original image according to the camera intrinsic parameter matrix and the distortion coefficient to obtain the biochip image. ### Claim 18 (depends on 17) The apparatus according to claim 17, wherein the original image is a fluorescent image of a biochip in which a biochemical reaction has occurred. ### Claim 19 (depends on 15) The apparatus according to claim 15, wherein the correction module is further configured to: select a corresponding detection area within a predetermined area of the preprocessed image. ### Claim 20 (depends on 15) The apparatus according to claim 15, wherein each detection area is a rectangular area, and comprises at least two rows or at least two columns of areas of interest.