A Comparative Study between Moravec and Harris Corner Detection of Noisy Images Using Adaptive Wavelet Thresholding Technique
Computer Vision and Pattern Recognition
2012-09-10 v1
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.
Cite
@article{arxiv.1209.1558,
title = {A Comparative Study between Moravec and Harris Corner Detection of Noisy Images Using Adaptive Wavelet Thresholding Technique},
author = {Nilanjan Dey and Pradipti Nandi and Nilanjana Barman and Debolina Das and Subhabrata Chakraborty},
journal= {arXiv preprint arXiv:1209.1558},
year = {2012}
}
Comments
8 pages, 13 figures