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Directed growth structured light center extraction method based on line structured light image

A line-structured light and extraction method technology, applied in image analysis, image data processing, complex mathematical operations, etc., can solve problems such as low precision, difficulty in applying measurement accuracy and measurement speed requirements, and slow extraction speed, so as to improve work Efficiency, reduced search time, and short runtime effects

Inactive Publication Date: 2020-12-04
HEBEI UNIV OF ENG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Traditional methods for extracting the center of line structured light include Gaussian approximation method, center of gravity method, linear interpolation method, parabolic estimation method, etc. These methods are slow in extraction speed and low in accuracy, and are difficult to apply to industries that require high measurement accuracy and measurement speed. Measurement

Method used

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Embodiment Construction

[0011] The specific implementation of the present invention will be further described below.

[0012] The present invention provides a method for extracting the center of directional growth structured light based on line structured light image. The method firstly determines a seed pixel point through the starting position of structured light, and then uses the continuity of single line structured light to control the target pixel. Search direction and range, refine the target under the premise of ensuring the continuity of structured light, that is, extract the center of directional growth structured light.

[0013] A method for extracting the center of directional growth structured light based on a line structured light image, step 1, determine a seed pixel point through the starting position of the line structured light; step 2, according to the determined seed pixel point, follow the light direction of the line structured light The direction searches for the target pixel po...

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Abstract

The invention provides a directed growth structured light center extraction method based on a line structured light image. The directed growth structured light center extraction method comprises the steps of 1, determining a seed pixel point through an initial position of line structured light; 2, according to the determined seed pixel points, searching for target pixel points in the light ray trend direction of the structured light, and determining the target pixel points in three neighborhoods of the seed pixel points; 3, defining the target pixel points determined in the step 2 as new seedpixel points; and 4, taking the new seed pixel point as a starting point, repeating the step 2-3 until all seed pixel points or a target pixel point set is found, and completing line structured lightcenter extraction.

Description

technical field [0001] The invention belongs to the technical field of line structured light center extraction, and in particular relates to a method for extracting a directional growth structured light center based on a line structured light image. Background technique [0002] With the development of structured light measurement technology, line structured light measurement is playing an increasingly important role in many fields such as surface quality inspection, medical diagnosis, 3D reconstruction and industrial automation. The line-structured light measurement system includes lasers, cameras and other equipment. The laser projects light onto the surface of the measured object, and the camera is used to take pictures and form light stripe images. The information on the surface of the measured object is obtained through image processing and analysis. The line structured light in the image usually has a certain width, and whether the center of the light stripe can be acc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/66G06F17/18
CPCG06T7/0004G06T7/66G06F17/18
Inventor 王桂梅李学晖杨立洁刘杰辉
Owner HEBEI UNIV OF ENG