Applications of the discrete Hodge Helmholtz decomposition to image and video processing

9Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The Discrete Hodge Helmholtz Decomposition (DHHD) is able to locate critical points in a vector field. We explore two novel applications of this technique to image processing problems, viz., hurricane tracking and fingerprint analysis. The eye of the hurricane represents a rotational center, which is shown to be robustly detected using DHHD. This is followed by an automatic segmentation and tracking of the hurricane eye, which does not require manual initializations. DHHD is also used for identification of reference points in fingerprints. The new technique for reference point detection is relatively insensitive to noise in the orientation field. The DHHD based method is shown to detect reference points correctly for 96.25% of the images in the database used. © Springer-Verlag Berlin Heidelberg 2005.

Cite

CITATION STYLE

APA

Palit, B., Basu, A., & Mandal, M. K. (2005). Applications of the discrete Hodge Helmholtz decomposition to image and video processing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3776 LNCS, pp. 497–502). https://doi.org/10.1007/11590316_78

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free