Journal of South China University of Technology(Natural Science) >
Improved Corner Detection Based on Multi- Direction Latticed Differential and Competitive Suppression
Received date: 2013-05-21
Revised date: 2013-07-11
Online published: 2013-10-11
Supported by
国家自然科学基金资助项目(60972133)
A multi- direction latticed differential (DLD) operator combined with the“Winner Takes All (WTA)”competitive suppression strategy is proposed to remove the false corners along zigzag image edges and the repeatedly-detected corners in smooth regions,which improves the performance of the corner detector.In the investigation,first,a differential operator based on the Directionlet decomposition is proposed to eliminate the zigzag distortion.With the multi- direction latticed complex representation of the operator,image edges in arbitrary direction can bedenoted without zigzag,and false corners with zigzag appearance can be effectively suppressed.Then,a competitivesuppression algorithm,which defines a corner similarity with the constraint of neighborhood size according to theDLD response value,and merges similar corners with the WTA strategy,is put forward to remove slowly- varyingcorners.Experimental results show that the typical GLCP detector and the FAST detector combined with DLD areboth obviously improved.For instance,the ACU value,which is a comprehensive evaluation index of the error de-tection rate and the missed detection rate,increases by 12.14% and 6.32%,respectively.
Ma Li- hong Li Jian- hui Tan Xing- jun . Improved Corner Detection Based on Multi- Direction Latticed Differential and Competitive Suppression[J]. Journal of South China University of Technology(Natural Science), 2013 , 41(11) : 8 -15,22 . DOI: 10.3969/j.issn.1000-565X.2013.11.002
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