DocumentCode :
3521718
Title :
Simulation Research of Applying Two-dimensional Empirical Mode Decomposition on Image Feature Extraction
Author :
Wang, Qin ; Jin, Ran ; Gao, Kun
Author_Institution :
Sch. of Comput. Sci. & Inf. Technol., Zhejiang Wanli Univ., Ningbo, China
fYear :
2010
fDate :
1-3 Nov. 2010
Firstpage :
402
Lastpage :
405
Abstract :
The edge feature extraction of image is one of the research fields of image processing theory and application. The traditional methods of image feature extraction are simple and proficient, but the accurate performance of the feature extracted is not even higher. As such, a new method for extracting image edge feature was proposed by using the two dimensional Empirical Mode Decomposition (2-D EMD) and Riesz Transform. Firstly, the image was decomposed to multi level Intrinsic Mode Function (IMF) by 2-D EMD, and then the Riesz Transform with stronger local preserving ability was used for analyzing their local properties instead of the Hilbert Transform, by which the edge feature extraction with higher resolution was carried on. Finally, simulation shows that the proposed method is feasible and valid.
Keywords :
Hilbert transforms; edge detection; feature extraction; Hilbert transform; Riesz transform; edge feature extraction; image feature extraction; image processing theory; local preserving ability; multilevel intrinsic mode function; two-dimensional empirical mode decomposition; 2-D EMD; Riesz transform; feature extraction; simulation research;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics Knowledge and Grid (SKG), 2010 Sixth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8125-5
Electronic_ISBN :
978-0-7695-4189-1
Type :
conf
DOI :
10.1109/SKG.2010.70
Filename :
5663568
Link To Document :
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