An Improved MIC Corner Detection Algorithmbased on Adaptive Threshold

In this paper, an improved MIC algorithm based on adaptive threshold is addressed based on the problems above. To begin with, according to the distribution characteristics of corners, the algorithm Introduced FAST detection operator which based on adaptive threshold and then select the candidate corners, which narrows the scope of corner detection. Besides, candidate corners are classified according to adaptive gray level threshold. Finally, the best match corners are selected by using different templates and threshold MIC algorithm in accordance with the classification results. The experimental results verify the feasibility and effectiveness of the algorithm.