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In this paper a comparative study between Moravec and Harris Corner Detectionhas been done for obtaining features required to track and recognize objectswithin a noisy image. Corner detection of noisy images is a challenging task inimage processing. Natural images often get corrupted by noise duringacquisition and transmission. As Corner detection of these noisy images doesnot provide desired results, hence de-noising is required. Adaptive waveletthresholding approach is applied for the same.

A Comparative Study between Moravec and Harris Corner Detection of Noisy Images Using Adaptive Wavelet Thresholding Technique