Structured light stripe central point reliability evaluation method

Abstract

The invention relates to a structured light stripe central point reliability evaluation method. An evaluation object is a light stripe central point obtained from a light stripe image by adopting a method, and structured light stripe central point evaluation basis is energy sum of a Gauss normalization model which takes the central point as the center on the cross section in the normal direction of the light stripe. The method includes: a light stripe central point is extracted by adopting a method, a point sequence of cross section in the normal direction of light stripe at the central point is acquired, and Gauss model normalization is carried out on the point sequence of the cross direction in the normal direction of the light stripe; energy sum of normalization Gauss model of the point sequence of cross section in the normal direction of the light stripe is calculated, and reliability evaluation index of the point is obtained; grey scale sum of the calculated light stripe central point cross section normalization Gauss model sequence is calculated; normalization of global image is carried out on the obtained central point reliability evaluation index, reliability is normalized according to reliability maximum of the image, and finally normalized reliability evaluation is obtained. The evaluation on light stripe central point in the invention accords with actual evaluation requirement.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and relates to a method for evaluating the reliability of an extracted central point of a structured light strip. Background technique [0002] With the development of measurement technology, 3D vision measurement is widely used in precision measurement sites such as industry and transportation due to its characteristics of non-contact, fast dynamic response, and good system flexibility. In structured light vision detection, obtaining the high-precision image coordinates of the center of the structured light strip is a key step in calibrating the structured light vision sensor and obtaining the three-dimensional outline of the measured object, and it is also the first-hand information for measurement. [0003] In the measurement of structured light strips, due to the environment, perspective imaging, and object material storage of the light strip image, the gray scale and width of the stru...

AI Technical Summary

Problems solved by technology

[0004] Common methods for extracting the centerline of light strips, such as extreme value method, gray-scale center of gravity method, direction template method, etc., are simple and real-time, but the accuracy is not high, and because these methods are based on threshold segmentation, most of them are sensitive to noise ; while the curve fitting method and the Steger algorithm have good robustness and high precision, but the complexity of the algorithm is large

The center point of the light bar obtained by the existing method is a binary representation of the center point of the light bar, that is, only to find the position of the center point of the structured light bar

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