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arXiv · 1209.1558

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

Nilanjan Dey·Pradipti Nandi·Nilanjana Barman·Debolina Das·Subhabrata Chakraborty
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Abstract

In this paper a comparative study between Moravec and Harris Corner Detection has been done for obtaining features 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. As 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.

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Nilanjan Dey, Pradipti Nandi, Nilanjana Barman, Debolina Das, Subhabrata Chakraborty. 2012-09-07. A Comparative Study between Moravec and Harris Corner Detection of Noisy Images Using Adaptive Wavelet Thresholding Technique. https://arxiv.org/abs/1209.1558

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