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Checkerboard angle point detection process under complex background

A complex background, point detection technology, applied in the field of image processing, can solve problems such as large amount of calculation, inability to meet real-time video requirements, and decreased detection accuracy, and achieve the effect of reducing selection, computing time, and false detection rate.

Inactive Publication Date: 2009-07-08
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its shortcomings are: the amount of calculation is large, it cannot meet the real-time requirements of video, and the detection accuracy of the algorithm is greatly reduced under complex backgrounds and illumination changes

Method used

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  • Checkerboard angle point detection process under complex background
  • Checkerboard angle point detection process under complex background
  • Checkerboard angle point detection process under complex background

Examples

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Embodiment Construction

[0023] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0024] The specific steps of this embodiment are as follows:

[0025] Step 1. Image preprocessing and segmentation

[0026] select as figure 1 A checkerboard image against a similar complex background. The image is down-sampled by a factor of 7, and the image is up-sampled by a factor of 7 to filter out noise. At the same time, the image is divided into three RGB channels, and the area detection is performed separately. The Canny operator is used to extract the edge of the image, and then the image is segmented by using the dichotomy adaptive threshold.

[0027] ...

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Abstract

The invention relates to a method for detecting the angular points of checkerboards under a complicated background, and belongs to the technical field of computer information image processing. The method comprises the following steps: firstly, down-sampling an image, then up-sampling the image, dividing the image into three passages RGB at the same time, detecting the regions respectively, extracting the border of the image by adopting Canny operator, and then dividing the image by adopting an adaptive threshold; approximating the rectangles in the image by adopting the Douglas-Peucker method so as to detect the rectangular regions in the image; obtaining the peak of each rectangle after detecting the rectangles, and clustering angular points of the same type; and statistically averaging the angular points of the same type, of which the amount is maximum in a neighbor range to detect the obtained angular points. The invention provides a method for detecting angular points on the basis of rectangles. The method which detects specific angular points by utilizing the symmetry and rectangular characteristic of the image of a checkerboard has the advantages of good real-time property and reliability.

Description

technical field [0001] The invention relates to a detection method in the technical field of image processing, in particular to a checkerboard corner detection method under a complex background. Background technique [0002] Fast and accurate detection of specific corners in images has broad application prospects in the fields of computer vision and pattern recognition, especially in industrial manufacturing, biomedicine, automated inspection and assembly. Different types of corners have different characteristics, but most of the existing corner detection methods are general methods for general corners, and checkerboard corners, as a special corner, have also been widely used in camera calibration and positioning. Since the detection of checkerboard corners is only based on the general corner detection method, some improvements have been made, so the amount of calculation is usually relatively large. Moreover, under the complex background, it is difficult to filter out the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
Inventor 闫焱史文欢刘允才
Owner SHANGHAI JIAO TONG UNIV
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