Blob Detection with the Determinant of the Hessian

摘要：

　　This study detected image blobs and estimated parameters using the determinant of the Hessian operator.To investigate differential detectors quantitatively,a mathematical function was used to represent the blobs and to solve the parameters,including the position,width,length,contrast,offset,and orientation,in a closed form.These proposed parameters are both novel and very accurate.Subpixel localization and interpolation improved the accuracy.Noise is suppressed using the neighbors of the feature.This method was tested with various types of synthesized blobs and real-world images,and it detected fewer duplicated features.Experiments showed that the proposed method outperformed other methods.

关键词： Blob detection blob parameter estimation the determinant of the Hessian multi-scale scale-invariance

作者: Xiaopeng Xu

作者单位: Computer and Information Engineering College,Inner Mongolia Normal University,Hohhot,010022,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: 72-80

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）