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- Title
Method of Extracting Feature Points from Outdoor Scene Images with Variable Brightness.
- Authors
YANG Hongfan; LI Hang; CHEN Kaiyang; LI Jiaqi; WANG Xiaofei
- Abstract
In environmental perception of outdoor scenes, the number and repetition rate of feature points extracted based on fixed threshold change dramatically with the change of brightness. To solve this problem, a feature point extraction algorithm based on local adaptive threshold was proposed. The algorithm filtered feature points by setting adaptive parameters and calculated each pixel threshold with dynamic local threshold. The feature points loss or redundancy caused by improperly selection of fixed threshold were overcomed. By classifying the brightness of pixels, the candidate feature points were screened layer by layer to achieve accurate extraction of oriented fast and rotated brief (ORB) feature points. The experimental results show that when the brightness decreases or increases within 60%, the distribution of feature points is uniform without overlap,and the range of the number of feature points is only 80,accounting for only 25% of feature points of original brightness. The overall repetition rate is stable at more than 80%.
- Publication
Journal of Henan University of Science & Technology, Natural Science, 2020, Vol 41, Issue 1, p18
- ISSN
1672-6871
- Publication type
Article
- DOI
10.15926/j.cnki.issn1672-6871.2020.01.004