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.