| 基于SUSAN原理的黄河模型角点检测 |
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| 引用本文： | 李贺林,赵建军. 基于SUSAN原理的黄河模型角点检测[J]. 山西电子技术, 2012, 0(1): 46-47,64 |
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| 作者姓名： | 李贺林 赵建军 |
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| 作者单位： | 河南大学先进控制与智能信息处理研究所,河南开封475001 |
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| 基金项目： | 省部共建项目“模型黄河网络图像监测与处理系统”,项目编号：SBGJ090601 |
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| 摘 要： | 分析了SUSAN算法进行角点检测的原理和有效性,在此基础上提出了一种采用改进了的SUSAN算法来提取黄河模型图像的角点特征。利用自适应的选取灰度差阈值的方法;再采用利用设定几何阈值的上下限方法,实现了黄河模型角点的自动识别和检测。实验表明,该方法提取的角点抗噪性能好,清晰真实,细致,定位精确。为下一步立体匹配和三维重构打下了基础。
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| 关 键 词： | 黄河模型 角点检测 SUSAN 阈值选取 |
The Corner Detection of Yellow River Model Based on the Principle of SUSAN |
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| Li He-lin,Zhao Jian-jun. The Corner Detection of Yellow River Model Based on the Principle of SUSAN[J]. Shanxi Electronic Technology, 2012, 0(1): 46-47,64 |
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| Authors: | Li He-lin Zhao Jian-jun |
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| Affiliation: | (Institute of Advanced Control and Intelligent Information Processing, Henan University, Kaifeng Henan 475001, China) |
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| Abstract: | This paper analyzes the principle and availability of SUSAN algorithm in comer detecting. Based on this, a method that adopts the improved SUSAN algorithm is put forward to extract the comer features of the Yellow River Model images. The method utili- zes first the self-adaptive threshold method of gray level difference, and then adopts the method of setting its upper and lower limits of geometric threshold to realize the automatic identification and detection for the Yellow River comer. Experiments show that this method of comer detection is good for de-noising. Its boundary is clear, true, meticulous, and the location is accurate. It makes the foundation for detecting stereo matching and 3D reconstruction in next step. |
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| Keywords: | the Yellow River model comer detect SUSAN selection of threshold value |
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