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A Method for Rapid Detection of Circles Applicable to Industrial Inspection

A fast and industrial technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as inaccurate and unstable detection results, and achieve accurate detection results, improved precision, and good stability

Active Publication Date: 2021-01-01
珠海博明视觉科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the detection of the radius of the circle in this algorithm depends entirely on the detection of the center of the circle. If there is a deviation in the detection of the center of the circle, then the detection of the radius of the circle will definitely have deviations, which makes the detection results inaccurate and unstable.

Method used

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  • A Method for Rapid Detection of Circles Applicable to Industrial Inspection
  • A Method for Rapid Detection of Circles Applicable to Industrial Inspection
  • A Method for Rapid Detection of Circles Applicable to Industrial Inspection

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Embodiment Construction

[0024] Such as figure 1 As shown, in this embodiment, the present invention includes the following steps:

[0025] A. Input image;

[0026] B. Do image pyramid processing on the homogenized image. The image pyramid is a form of multi-scale representation of images. It is an effective but conceptually simple structure to explain images with multiple resolutions. The pyramid of an image It is a series of image collections arranged in a pyramid shape with gradually reduced resolution. All the images come from the same original image and are obtained through step-by-step downsampling. Sampling is not stopped until a certain termination condition is reached. We will layer by layer The image is likened to a pyramid, the higher the level, the smaller the image and the lower the resolution, such as figure 2 As shown, the bottom is the 0th layer, which is the original image. The higher the level, the smaller the image. The width and height of any layer of the image pyramid are half ...

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Abstract

The present invention discloses a method for rapid detection of a circle suitable for industrial detection. The objective of the invention is to provide a method for rapid detection of a circle suitable for industrial detection with improved speed and precision of total-graph detection of a circle in the industrial detection. The method comprises the following steps: A, inputting images; B, performing image pyramid processing; C performing edge detection; D, performing sectoring; E, performing voting of the center of a circle; F, performing filtering of the coordinate point of the center of the circle; G, performing voting of a radius; H, returning back to an original graph to perform circle fitting; and I, outputting the radius of the center of the circle. The method for rapid detection of the circle suitable for industrial detection is applied to the industrial intelligent manufacturing technology field.

Description

technical field [0001] The invention relates to a method for quickly detecting circles suitable for industrial detection. Background technique [0002] Hough transform is a parameter estimation technique using the voting principle. The basic principle of Hough transform is to use the duality of point and line to transform the line in the image space into the focal point of the parameter space, so as to detect whether there is a given image in a given image. nature of the curve. To detect a circle with an unknown radius from an image, the parameter plane is expanded into a three-dimensional space, and x-y-r corresponds to the center and radius of the circle. Each point on the image plane corresponds to a circle at each radius in the parameter space, which is actually a cone. This obviously requires a lot of memory, and the speed of operation is also a big problem. [0003] The circle detection function HoughCircle in OpenCV uses the improved Hough transform, that is, the H...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/60G06T7/62G06T7/13G06T5/00
CPCG06T5/002G06T7/0004G06T7/60G06T2207/20016G06T2207/20024G06T2207/20104G06T7/13G06T7/62
Inventor 刘平姜贺詹铭泽
Owner 珠海博明视觉科技有限公司
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