Dot detection method, terminal and computer readable storage medium

A detection method and dot technology, applied in the field of computer vision, can solve the problems of large result error and large scatter contour error, and achieve the effect of satisfactory accuracy

Active Publication Date: 2020-09-04
深圳辰视智能科技有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The scatter points extracted by this method have a large error compared to the actual dot outline, and the fitting result has a large error

Method used

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  • Dot detection method, terminal and computer readable storage medium
  • Dot detection method, terminal and computer readable storage medium
  • Dot detection method, terminal and computer readable storage medium

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Embodiment Construction

[0026] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0027] Such as figure 1 As shown, a kind of dot calibration detection method is provided in one embodiment of the present invention, it is characterized in that, comprises:

[0028] Step S110, taking an image, the image has dots and a background, the gray value of the pixels in the dots is higher than the gray value of the pixels in the background.

[0029] The technical solution of this embodiment is applicable to camera calibration, and is also applicable to other detection fields. In this embodiment, camera calibration is taken as an example for illustration, such as figure 2 As shown, the captured image contains the calibration dots and the background.

[0030] Step S120, detecting the grayscale value of the pixel on the captured image, setting the grayscale value of the pixel to 0 when the grayscale value of ...

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Abstract

The invention discloses a dot detection method, a terminal and a computer readable storage medium, and the method comprises the steps: shooting an image which is provided with dots and a background, wherein the gray values of pixels in the dots are higher than the gray values of pixels in the background; detecting gray values of pixels on the shot image; classifying mutually communicated pixels inthe image into the same area; setting the area to be elliptical, and establishing a gray model; substituting the pixels of the area into the gray scale model, calculating model parameter values, andcalibrating dots. According to the technical scheme, firstly, binarization processing is carried out on an image, a dot area is preliminarily determined, a gray scale model is established at a targetboundary based on a background gray scale value and a gray scale difference between a target dot and a background, parameters of each dot in a calibration plate can be calculated by utilizing the model, dot calibration is thus completed, and the accuracy of dot calibration meets camera calibration requirements.

Description

technical field [0001] The present invention relates to the field of computer vision, in particular to a dot detection method, a terminal and a computer-readable storage medium. Background technique [0002] In the process of camera calibration, the least square method is generally used to detect the dots on the calibration board. This method needs to extract the position of the scattered points on the edge of the dot, and then use the least square method for graphic fitting. The scatter points extracted by this method have a large error compared to the actual dot outline, and the fitting result has a large error. [0003] Therefore, a new technical solution for dot calibration is needed to accurately calibrate the dots to meet the camera calibration requirements. Contents of the invention [0004] The main purpose of the present invention is to propose a dot detection method, a terminal and a computer-readable storage medium, aiming at accurately calibrating dots and mee...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/80G06T7/66G06T7/136
CPCG06T7/80G06T7/66G06T7/136G06T2207/10004
Inventor 李楚翘邓亮陈先开冯良炳
Owner 深圳辰视智能科技有限公司
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