计算机科学 ›› 2012, Vol. 39 ›› Issue (6): 251-254.

• 图形图像 • 上一篇    下一篇

一种快速鲁棒的LOG-FAST角点算法

梁艳菊,李庆,陈大鹏,颜学究   

  1. (中国科学院微电子研究所 北京100029);(中国科学院微电子所昆山感知中心 昆山215347)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Fast and Robust LOGFAST Corner Algorithm

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

摘要: 基于高时间效率的FAS」算法,提出了一种快速鲁棒的FAST-LOG角点算法。使用直方图均衡化方法对图 像进行增强,提高图像成分的清晰度并消除图像中光照强度的影响;运用拉普拉斯一高斯函数对图像进行卷积,实现图 像的高斯平滑和增强边缘,及对噪声最大化的抑制;最后使用FAST算子检测角点。对比实验证明,新算子对于添加 高斯噪声的分辫率为640 } 480的图像,其检测时间可达到。. 05s;对光照不同的图像具有相近的检测性能;角点重复 率可达9800。该算子可应用于实时视频图像的处理,为开发基于视觉的实时智能车辆预警系统提供了新的研究思 路

关键词: 拉普拉斯-高斯,FAST,快速,角点检测,图像增强

Abstract: Based on timcefficient FASh algorithm, the paper described a fast and robust LOGFASh corner algorithm. Histogram ectualization as one kind of image enhancement was firstly applied to the original image for sharpening useful image information and improving image illumination invariance. "hhen Laplacian of Gaussian operator was convoluted to achieve image guassian smooth and edge enhancement, and also suppress noise in the maximal degree. At last,ESST al- gorithm was applied to produce LOGFAST corners. The new corner detection algorithm not only features with time-ef- ficicnt as FASh algorithm, also has illumination invariant, noise invariant and robust feature. Experiments show that LOGFAST algorithm can achieve a detection time 0. 05s on noised images sized with 640、480. It has the similar detec- tion performance on illuminate variant images and has repeatability 98 percent. Duc to its excellent performance, LOG FASh algorithm can be used in real time video process applications such as intelligent vehicle warning system.

Key words: Laplacian of guassian, FAST, Robust, Corncr dctcction, Imagc cnhanccmcnt

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