DocumentCode :
2871846
Title :
Beamlet: Principles, algorithms and applications
Author :
Miao, Qiguang ; Yang, Mei ; Lou, Jingjing
Author_Institution :
Sch. of Comput. Sci., Xidian Univ., Xi´´an, China
Volume :
9
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
The concept of beamlet was first introduced by Donoho and Xiaoming Huo. As an efficient tool for multi-scale image analysis, beamlet dyadically organized the collection of line segments which exhibits a certain range of lengths, positions and orientations. The role played by line segments in beamlet analysis is analogous to which points play in wavelet analysis. This paper describes a multi-scale analysis framework based on beamlet analysis, presents the structure and principle of beamlet transform, and summaries the algorithms and the related research works of beamlet. Its development history, current and future challenges are also reviewed in details.
Keywords :
image processing; transforms; beamlet analysis; beamlet transform; line segments; multiscale image analysis; Algorithm design and analysis; Feature extraction; Image edge detection; Image segmentation; Noise measurement; Transforms; Wavelet analysis; Beamlet transform; Image processing; Multi-scale geometric analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5623071
Filename :
5623071
Link To Document :
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