  In this paper we propose a method of corner detection for obtaining features
which is required to track and recognize objects within a noisy image. Corner
detection of noisy images is a challenging task in image processing. Natural
images often get corrupted by noise during acquisition and transmission. Though
Corner detection of these noisy images does not provide desired results, hence
de-noising is required. Adaptive wavelet thresholding approach is applied for
the same.
