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基于SUSAN算法的角点检测 被引量:5

Corner Detection Algorithm Based on SUSAN
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摘要 角点是图像目标的重要的局部特征,角点检测是低层次图像处理的一个重要方法。介绍SUSAN算法的原理,介绍该算法在角点检测中的应用,对实验结果进行了比较,并对该算法进行评价,给出评价角点检测算法的标准。 Comers are important image goals of local features, comer detection is an important way of low-level image processing. Introduces the principle of the SUSAN algorithm, then introduces the comer detection algorithm in the application, and compares experimental results, makes an evaluation for this algorithm, gives evaluation for comer detection algorithm.
作者 陈丽莉
出处 《现代计算机》 2009年第5期75-77,共3页 Modern Computer
关键词 SUSAN算法 角点检测 角点响应函数 非极大值抑制 SUSAN Comer Detection Algorithm Detection Algorithm Comer Response Function of Non-Maxima Suppression
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参考文献5

  • 1Cordelia Schmid, Rrger Mohr. Christian Bauckhage, Evaluation of Interest Point Detectors[J]. International Journal of Computer Vision, 2000 , 37 (2) :151-172
  • 2ZHOU Dong-xiang, LIU Yun-Hui, Xuanping Cai. An Efficient and Robust Comer Detection Algorithm[A]. Intelligent Control and Automation[C]. WCICA 2004. 2004, 5: 15-19, 4020-4024
  • 3Han Wang, Michael Brady. Real-Time Comer Detection A12gorithmfor Motion Estimation[J]. Image and Vision Computing, 1995, 13(9): 695-703
  • 4Smith S M, Brady M. SUSAN:A New Approach to Low Level Image Processing[J]. International Jaurnal of Computer Vision, 1997, 23 (1): 45-78
  • 5Trajkovicm, Hedley.M, Fast Comer Detection[J]. Image and Vision Computing, 1998, 16(1) :75-87

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