线搜索式角点检测方法的参数自适应设计

针对线搜索式角点检测方法存在全局固定阈值对实际图像的光线不均匀等不良现象适应性不足的问题,提出了有关参数自适应的设计方法.在原角点检测基本方法的基础上,首先根据局部区域的对比度信息,设计了同值收缩核(USAN)阈值的自适应动态产生方法.其次,给出了高斯去噪的实施建议,以提高线搜索式角点检测方法的抗噪性能,并给出了其他参数值的动态取值建议.实验结果表明,在本文的参数自适应设计方法下,线搜索式角点检测变得更为实用方便,比原固定阈值的基本方法更能适应光线不均匀现象,对于内容、品质差异较大的图像无需频繁调整参数,仍能保持很高的正检率水平,同时伪响应也处于可接受的水平.

Design of parameter adaptation for line search corner detector

The line search corner detection approach shows ordinary adaptability to uneven illumination for its global thresholds of parameters.In this paper,an adaptive parameter improvement based on the line search corner detector is put forward.The main contribution is the design of the adaptive thresholds of univalue segment assimilating nucleus(USAN) in every steps of the line search corner detector based on the local image contrast.The Gaussian smoothing is introduced for noise suppression.The dynamic values of other parameters are suggested.Experiments show that the parameter adaptation for line search corner detector proposed in this paper has good adaptability to uneven illumination and can keep high detection rate among various real images,while false response is acceptable.