计算机科学 ›› 2009, Vol. 36 ›› Issue (12): 270-271.

• 图形图像及体系结构 • 上一篇    下一篇

一种用于图像序列拼接的角点检测算法

冯宇平,戴明,张威,王美娇   

  1. (中国科学院长春光学精密机械与物理研究所 长春130033);(中国科学院研究生院 北京100039);(长春理工大学光电信息学院 长春130012)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国防科技预研基金项目(No. 1040603)资助。

Corner Detection Algorithm for Image Mosaic

FENG Yu-ping,DAI Min,ZHANG Wei,WANG Mei-jiao   

  • Online:2018-11-16 Published:2018-11-16

摘要: 分析了Harris角点检测算子的实现原理及其用于图像序列拼接时存在的不足,从几个方面提出了改进:用新的二和y方向梯度算子求取图像导数,对灰度变化更敏感;改进了角点响应函数,避免了k值选择的随机性;根据图像序列首图像自动确定R阂值,提高了算法的自动处理能力和速度;根据目标像素点的8部域范围进行亚像素精确定位,角点位置更加准确。实验结果表明,改进算法无需人工干预,特征点提取的速度比传统算法提高了约61. 3%,能更好地适应图像拼接的实际应用,是一种快速有效的角点检测方法。

关键词: 图像拼接,角点检测,Harris算子,角点响应函数

Abstract: An improved algorithm for corner detection was proposed by analyzing the theory of Harris operator and its disadvantage. The main improved aspects were suggested just as follows ; First, the new grads operators were used to get image derivative. Second, the method adopted improved corner response function for avoiding the randomicity of k value. Then this algorithm automatically ascertained corner extraction threshold based on the first one in image sequence.Last, in order to improve the precision for corner extraction, the method obtained sub-pixel corners within 8 neighborhoods of the target pixel. Experiment results show that the computation time of improved algorithm enhances about 61. 3% , and it can be applied to image mosaic better.

Key words: Image mosaic, Corner detection, Harris operator, Corner response function

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