An Improved Harris Corner Detection Algorithm Based on Adaptive Gray Threshold
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DOI: 10.23977/amce.2019.049
Author(s)
Chao Han, Fucheng You, and Shaomei Wang
Corresponding Author
Chao Han
ABSTRACT
In view of the problem that the threshold value of Harris corner detection algorithm needs to be adjusted according to the specific image situation when judging whether the target pixel point is a corner point, and it is difficult to select the threshold value.An improved Harris corner detection algorithm is proposed.For improve the self-adaptability of the algorithm, adaptive threshold is adopted. Experimental results show that the improved algorithm is more accurate and stable than the original algorithm.
KEYWORDS
Adaptive threshold, corner detection