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An Ellipse Detection Method Based on Perceptual Contrast and Feature Selection

A technology of ellipse detection and feature selection, which is applied to measuring devices, character and pattern recognition, instruments, etc., to achieve the effects of increased speed, high accuracy, and high recall rate

Active Publication Date: 2022-02-22
BEIHANG UNIV
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Problems solved by technology

[0008] In order to solve the above problems and make up for the deficiencies of the traditional methods, the present invention provides an ellipse detection method based on perceptual contrast and feature selection, which can effectively deal with the uneven gray level of the mark point ellipse caused by uneven solar radiation and supplementary light. Problems, translation, rotation, and ellipse curvature changes of ellipse marker points caused by static deformation and dynamic vibration of sailboards, accurate detection and segmentation of ellipses under the influence of complex texture background interference and non-target ellipses of sailboards

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  • An Ellipse Detection Method Based on Perceptual Contrast and Feature Selection
  • An Ellipse Detection Method Based on Perceptual Contrast and Feature Selection
  • An Ellipse Detection Method Based on Perceptual Contrast and Feature Selection

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[0070] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with specific examples and accompanying drawings.

[0071] The schematic diagram of the present invention is as figure 1 As shown, the specific implementation steps are as follows:

[0072] Step 1. Perceptual contrast image extraction;

[0073] Such as figure 1 As shown in a1, for a given image to be detected f 0 , using M=4 layers of Gaussian pyramid decomposition can get 4 decomposed images f 1 , f 2 , f 3 and f 4 ,in

[0074] f i+1 =(f i *H 1 )↓ 2 , i∈{0,1,2,3},

[0075] where H 1 is a Gaussian convolution kernel with a scale of 3×3 and a standard deviation of 0.75, ↓ 2 is a downsampling operation with a step size of 2. For any image f i ,i∈{0,1,2,3,4}, get the corresponding image through convolution operation in

[0076]

[0077] where H 2 is a Gaussian convolution ke...

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Abstract

The invention discloses an ellipse detection method based on perceptual contrast and feature selection. The steps are as follows: step 1, perceptual contrast image calculation; step 2, candidate image block extraction; step 3, feature vector extraction; step 4, support vector training; 5. Online ellipse detection. Advantages and effects of the present invention: the method has flexible parameters, and for the detection of ellipses in different environments, a target ellipse detector with high accuracy and high recall rate can be obtained by adjusting these parameters. This method can be widely used in applications based on specific target ellipse detection, and has broad market prospects and application value.

Description

technical field [0001] The invention relates to an ellipse detection method based on perception contrast and feature selection, belongs to the field of digital image processing, and mainly relates to visual perception theory, feature detection, ellipse detection and recognition technology. Background technique [0002] As a basic research in the field of computer vision, ellipse detection has a wide range of important applications in computer vision, such as traffic sign recognition, face detection, camera calibration, landmark detection, etc. In the field of aerospace, the solar sail of a spacecraft will produce static deformation under the action of thermodynamics and gravity, and will also vibrate during attitude adjustment and orbit correction. Traditional contact measurement methods cannot effectively detect static deformation, and at the same time cannot effectively detect weak tremors. Therefore, a sailboard vibration measurement method based on visual measurement is...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06V10/22G06V10/46G06V10/42G01B11/24
CPCG01B11/24G06V10/22G06V10/42G06V10/462G06F18/2135G06F18/2411G06F18/214
Inventor 白相志郭胜
Owner BEIHANG UNIV
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