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

Author
Dey, Nilanjan · Nandi, Pradipti · Barman, Nilanjana · Das, Debolina · Chakraborty, Subhabrata
Year 2012
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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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Details

Title
A Comparative Study between Moravec and Harris Corner Detection of Noisy Images Using Adaptive Wavelet Thresholding Technique
Author
Dey, Nilanjan · Nandi, Pradipti · Barman, Nilanjana · Das, Debolina · Chakraborty, Subhabrata
Year
2012
Journal
International Journal of Engineering Research and Applications (IJERA) Vol. 2, Issue 1, Jan-Feb 2012, pp.599-606
Type
Research Article
Language
eng
Comment
8 pages, 13 figures
History
2012-09-07 00:00:00
Categories
Computer Vision and Pattern Recognition
This is Version 1 of this record. We added this version on September 11, 2012. This version is based on an original data import from arXiv.org e-Print archive.