Rapid Adaptive RSUSAN Algorithm of Corner Detection
Li Yu · 2004
Based on the gradual change of the image edge gray .a new redefinition of the region of the SUSAN (Small Univalue Segment Assimilating Nucleus )and a more efficient and simple method to compute it are suggested. And thus a new corner detection algorithm RSUSAN is proposed. The experiment shows that, compared with SUSAN and MIC.such algorithm is of simpler process,more rapid speed and more high veracity. In addition,in order to deal with the blurred and noisy image ,the way of combination of adaptive smoothing and such new algorithm is put forward,and the result of applying this adaptive RSUSAN corner detection algorithm to blurred and noisy image shows that it has similar numeration amount,but has better effect than SUSAN and MIC.