Image registration method based on improved Harris corner detector

• 来源期刊: 中国光学快报(英文版)
• 学科: 工学
• 关键词: Harris 检测器 配准方法 图像 匹配算法 光照变化 规模收益 地方特色
• 年，卷（期）: 2010,（6）
• 所属期刊栏目: Image Processing
• 页码范围: 573-576
• 页数: 4页
• 分类号: TP751 TN948.53
• 语种: 英文

摘要

Harris corner detector is a classic tool to extract feature.It is stable to illumination change and rotation but unstable to more complicated transform.In order to register images with different viewpoints,we extend Harris corner detector to scale-space to gain invariance to scale change,then we apply affine shape adaptation to the scale invariant point until convergence is reached,giving it invariance to affine transform.With these local features,we use general feature descriptor and matching algorithm to generate matches and then use the matches to calculate the geometric transform matrix,which enables the final registration.Result shows that our algorithm can get more accurate matches than scale invariant feature transform SIFT,and less difference exists between registered images.