Directional Variance: A measure to find the directionality in a given image segment

Author

Jayachandra, Dakala ; Makur, Anamitra

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore

fYear

2010

fDate

May 30 2010-June 2 2010

Firstpage

1551

Lastpage

1554

Abstract

In this paper we consider the problem of finding the direction of the content in a given image segment to foster the development of adaptive directional decompositions of images. We propose a mechanism based on a new directional metric that we define as Directional Variance (DirVar), a measure of variance along the discrete lines in the given direction. The simulation results in section III, within the frame work of directionlets, and in the lifting based directional DWT, show that our mechanism is very accurate and reliable in finding the content direction and saves lot of computations.

Keywords

discrete wavelet transforms; image segmentation; adaptive directional decompositions; content direction; directional DWT; directional metric; directional variance; image segmentation; Adaptive filters; Anisotropic magnetoresistance; Discrete wavelet transforms; Filtering; Image coding; Image segmentation; Polynomials; Shearing; Wavelet coefficients; Wavelet transforms; Directional DWT; Directionlets; Lifting;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on

Conference_Location

Paris

Print_ISBN

978-1-4244-5308-5

Electronic_ISBN

978-1-4244-5309-2

Type

conf

DOI

10.1109/ISCAS.2010.5537403

Filename

5537403