An Adaptive Harris Corner Detection Algorithm for Image Mosaic

摘要：

　　Image Stitching refers to the technology fusing more than one images with overlapping part into a large field of view image.Image mosaic consists of image preprocessing,image registration and image fusion.To solve problems of serious clustering phenomenon and fewer corner points in the texture region caused by traditional Harris Corner detection algorithm,this paper proposes an improving adaptive threshold setting algorithm by calculating the second-order value of the corner response function,avoiding effects of the selection of scale factor k and threshold T on corner detection.To overcome the weakness of obvious traces in the jointing places caused by traditional weighted average method for image fusion,this paper enhances the weighted average method with trigonometric functions.Experimental results show our proposed algorithms can effectively eliminate the gap generated by image mosaic,with a better speed and precision.

关键词： Image Stitching Image Registration Corner Detection Image Fusion

作者: Haixia Pan Yanxiang Zhang Chunlong Li Huafeng Wang

作者单位: Colleage of Software,Beihang University,Beijing,China

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 53-62

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）