Affiliation:
1. Anhui University of Technology
Abstract
Due to the low accuracy of the traditional
image feature matching algorithm in binocular vision measurement, a
binocular measurement method for the continuous casting slab model
based on the improved binary robust invariant scalable keypoints
(BRISK) algorithm is proposed. First, the feature points of the image
are detected. After that, local area sampling and sub-area division
are carried out with the feature points as the center, sub-areas with
low offset values are removed, and the main direction is obtained by
using the centroid of the remaining sub-areas. Then, the gray
difference threshold is used to replace the traditional gray value
intensity comparison to generate descriptors. Finally, the Hamming
distance is used to match the feature points, and the
three-dimensional coordinates of the matching points are calculated to
complete the measurement. Through comparative experiments, the lowest
relative error of the improved algorithm in this paper reaches
0.4723%, which meets the requirement of measurement accuracy.
Funder
National Natural Science Foundation of China
Open Fund Project of Anhui Key Laboratory of Special Heavy-Duty Robot
The Key Project of Natural Research in Colleges and Universities in Anhui Province
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering
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