Title :
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
fDate :
May 30 2010-June 2 2010
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;
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
DOI :
10.1109/ISCAS.2010.5537403
