An Improved Harris Multi-Scale Corner Detection
Yan Wang · Computer Technology and Development · 2010
Harris corner detection is a classical algorithm and used wildly now,but has not the property of scale invariant.So it often does not get a satisfied result in the image of the corner detection.For modifying its single-scale and making corner detection more accurate and valid,in this paper,multi-scale-space and fuzzy parameter are introduced into the Harris algorithm.Harris multi-scale corner detection is used to corner extraction by multi-scale-space.It not only includes the feature information at several scales,but also overcomes the drawback that the single-scale Harris detector usually leads to either missing significant corners or detecting false corners.Compared with Harris algorithm,the presented algorithm is more efficient in detecting the corners with accurate location.