关键词: Harris算法, 多尺度, 图像分块, 检测性能, 准确度

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.

Key words: Harris algorithm, muli-scale, image block, detection performance, accurancy