Abstract
Harris corner detection is a classical algorithm and is widely used nowadays,but it does not have the invariant property.For modifying its single-scale and making corner detection more accurate and valid,the conception of multi-scale-space and image block method were introduced into the Harris algorithm in this paper.Corner detection was used to corner extraction by multi-scale-space.Under each scale,the maximum response of local corner was regarded as a candidate corner point,while the image was segmented.Finally,along the direction of small-scale to large-scale to judge whether the candidate corner was true,the false corner was eliminated,thus the corner detection was more accurate.By comparison test,the new algorithm significantly improves the image corner detection performance.
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