A Novel Approach of Harris Corner Detection of Noisy Images using Adaptive Wavelet Thresholding Technique
Computer Vision and Pattern Recognition
2012-09-14 v1
Abstract
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.
Keywords
Cite
@article{arxiv.1209.2903,
title = {A Novel Approach of Harris Corner Detection of Noisy Images using Adaptive Wavelet Thresholding Technique},
author = {Nilanjan Dey and Pradipti Nandi and Nilanjana Barman},
journal= {arXiv preprint arXiv:1209.2903},
year = {2012}
}
Comments
5 pages, 10 figures. arXiv admin note: substantial text overlap with arXiv:1209.1558