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Image characteristic extracting method of structure light straight-line striation of three steps method

A technology of image characteristics and three-step method, which is applied in the directions of image analysis, image data processing, and optical device, can solve the problems of low efficiency, difficult to fully utilize, complicated operation, etc., achieve high degree of automation, easy operation, and improve on-site The effect of ease of operation

Inactive Publication Date: 2008-05-14
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

For structured light images with complex backgrounds, at present, the region of interest of some structured light strips is mainly manually selected, and the extraction of straight light strips is realized by combining the center line extraction of structured light strips and the linear least squares fitting method, which makes the operation complicated. , low efficiency, and it is difficult to make full use of all the effective structured light linear light strip information in the image

Method used

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  • Image characteristic extracting method of structure light straight-line striation of three steps method
  • Image characteristic extracting method of structure light straight-line striation of three steps method
  • Image characteristic extracting method of structure light straight-line striation of three steps method

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Embodiment

[0057] The process flow of the image feature automatic extraction method of the three-step linear light strip is shown in Figure 1. Taking the linear light bar in the parameter calibration of the line structured light vision sensor as an example, the experiment is carried out. The plane structured light projected by the line structured light projector intersects with the calibration target plane to form a straight light strip. Since the target plane contains other physical features, such as round holes, black and white squares, etc., the structured light strip image captured by the camera, its Characteristic representation of non-completely rectilinear light streaks in complex backgrounds. Figure 4(a) and Figure 4(b) are the images of a single straight line light strip and a cross line light strip image respectively, and the image resolution is 768×576 pixels. According to the three-step linear light strip extraction method proposed by the present invention, straight line ext...

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Abstract

The invention belongs to the technical field of machine sight and provides an automatic extracting method for image features of straight chatoyancy by three steps. The invention extracts the sub-pixel image coordinate of the central points of the chatoyancy based on the chatoyancy center extracting method of Hessian matrix, connects the chatoyancy central points into a chatoyancy central line, then splits the chatoyancy central line into an approximative straight line at the knee of curve through a straight line approximate algorithm, and combines the colinear central points within the distance between the image origin points satisfying the angle limit and the approximative straight line, conducing straight line fitting for the combined colinear central points to acquire the parametric equation of the straight chatoyancy through straight line fitting. The three-step method disclosed in the invention realizes automatic extraction for image feature of the straight line chatoyancy in structure light under complicated background, eliminates the influence of stray interference feature, improves the automation level about the image feature extraction of the straight chatoyancy, makes full of all the chatoyancy central points on the straight chatoyancy and establishes a base for improving the rated efficiency and rated accuracy of an optical visual system and simplifying the field operation.

Description

technical field [0001] The invention belongs to the technical field of machine vision and relates to a method for automatically extracting image features of a three-step structured light linear light strip. Background technique [0002] Line structured light vision measurement has the advantages of large range, non-contact, fast speed, and good system flexibility. It is widely used in many fields such as rapid product design, processing quality control, reverse engineering, and automatic control. The structured light vision 3D measurement technology projects the corresponding pattern of structured light to the measured object, and the camera captures the deformed light strip image, and obtains the 3D information of the object surface based on the principle of optical triangulation. An effective way to obtain many online measurements such as sports information. [0003] The calibration of the model parameters of the line structured light sensor is the key and premise of the ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/60G01B11/00
Inventor 周富强王飞张广军
Owner BEIHANG UNIV
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