| 基于图像噪声检测的Harris角点提取方法 |
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| 引用本文： | 钱成越. 基于图像噪声检测的Harris角点提取方法[J]. 电脑开发与应用, 2010, 23(8): 29-31 |
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| 作者姓名： | 钱成越 |
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| 作者单位： | 武汉大学遥感信息工程学院,武汉,430072 |
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| 摘 要： | 角点提取在图像匹配、相机标定、模式识别和三维重建等方面有着极其重要的应用,是当前图像研究的热点。在阐述经典的Harris算法基础上,分析了其优缺点。针对Harris算法受随机噪声影响较大和运算速度慢的局限,在采用Sobel梯度算子基础上,提出了基于噪声检测的改进算法,实验表明噪声检测算子可有效检出随机噪声,证明了方法的有效性与可行性。
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| 关 键 词： | 角点提取 噪声检测 Harris算子 Sobel算子 卷积 |
An Improved Harris Algorithm of Corner Extraction based on Noise Detection of Image |
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| Qian Chengyue. An Improved Harris Algorithm of Corner Extraction based on Noise Detection of Image[J]. Computer Development & Applications, 2010, 23(8): 29-31 |
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| Authors: | Qian Chengyue |
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| Abstract: | Corner extraction plays an important role in image matching,camera calibration,pattern recognition and three-dimensional reconstruction and is regarded as an hot spot in the research of image processing.Here the advantages and disadvantages of Harris algorithm are analyzed based on the statement of its principle.Aiming at the limits that Harris algorithm is gravely suffered from image noise and slow calculation speed,the new improved algorithm is presented based on noise detection along with Sobel gradient operator.Further,the effectiveness and feasibility of the algorithm are proved and through controlled trials. |
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| Keywords: | corner extraction noise detection Harris operator Sobel operator convolution |
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