基于两个弯曲度积的图像角点检测

Liao Wenzhi, Pi Youguo
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引用次数: 0

摘要

针对角点与非角点弯曲度差不足以进行图像检测的问题,提出了一种基于两弯曲度积的图像角点检测算法。该算法通过将第一弯曲度与第二弯曲度相乘来扩大弯曲度的差异。然后,对数字图像进行角点检测。实验结果表明,该算法简单有效,具有较好的稳定性和较高的检测精度。
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Corner detection of image based on product of two bending degrees
As the difference in bending degree between comer points and non-corner points is not large enough for image detection, an algorithm of image comer detection based on the product of two bending degrees is proposed. The proposed algorithm enlarges the differences in bending degree by multiplying the first bending degree and the second bending degree. Then, the comer detection for digital images is conducted. Experimental results show that the proposed algorithm is simple and effective, and that it helps to detect image comers with good stability and high precision.
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来源期刊
华南理工大学学报(自然科学版)
华南理工大学学报(自然科学版) Engineering-Engineering (all)
CiteScore
1.00
自引率
0.00%
发文量
9337
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