Corner detection using multi-scale representation of contour orientation rate based on B-spline
Dan Yang · Journal of Computer Applications · 2009
Multi-scale representation for contour orientation rate was defined based on B-spline scale space,and a new corner detection algorithm was proposed by exploring multi-scale contour orientation rate and its multiplication.The local extrema of multi-scale multiplication were directly defined as candidate corners.Multi-scale multiplication not only included the feature information of orientation rates at several scales,but also could enhance the contour orientation rates of corners while suppressing the rates of contour points corrupted by boundary or quantization noise.Thus,the good corner detection results could be obtained only through using a global threshold and that multi-scale detection of the candidate corners was truly performed.Finally,quantitative analysis of corner detection localization performance was performed,and the comparing experiments illustrate that the proposed algorithm possesses good detection and localization performance.