一种改进的多尺度Harris角点检测算法 |
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引用本文: | 朱士杰,马峻.一种改进的多尺度Harris角点检测算法[J].电脑开发与应用,2010,23(6):31-33. |
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作者姓名: | 朱士杰 马峻 |
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作者单位: | 太原科技大学系统仿真与计算机应用研究所,太原,030024 |
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摘 要: | 传统角点检测算法对尺度很敏感,而且提取角点是像素级的。采用图像增强技术,通过DOG算子将多尺度运用到Harris算法中,然后除去极值点附近低对比度的特征点。不仅避免了传统灰度变换技术的单一性,还提高了增强处理后图像的稳定性。改进的多尺度Harris角点检测方法具有误差较小、伪角点较少、错误率较低、匹配精度性较高等特点。
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关 键 词: | 角点检测 多尺度 DOG算子 高斯金字塔 图像增强 |
An Improved Multi-scale Harris Corner Detection Algorithm |
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Abstract: | Traditional corner detection algorithm is very sensitive to scale, and extract the corner point is the pixel-level. Using image enhancement technology, Through the DOG operator will be applied to the multi-scale Harris algorithm, Then remove the extreme point of the feature points near the low-contrast, To avoid the traditional gray-scale transformation technology singularity, Improved to enhance the stability of processed images. Experimental results show that the improved multi-scale Harris corner detection method has the charateristic of smaller error, pseudo-corner point less, error rate lower and the markedly improved accuracy and soon. |
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Keywords: | corner detection multi-scale DOG operator DOG pyramid image enhancement |
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