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http://hdl.handle.net/123456789/20576
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| Title: | A novel hybrid edge detection algorithm based on wavelet thresholding and ICA |
| Authors: | Moslem Taghizadeh
Mahboobeh Hajipoor |
| E-mail: | taghizadeh.uni@gmail.com
ma.hajipoor@gmail.com |
| Keywords: | Independent component analysis
Edge detection
Shrinkage function
Poisson noise |
| Issue Date: | 27-Feb-2012 |
| Publisher: | Universiti Malaysia Perlis (UniMAP) |
| Department: | School of Mechatronic Engineering |
| Series/Report no.: | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) |
| Abstract: | We propose a robust edge detection method
based on ICA-domain shrinkage1 (independent component
analysis). It is known that most basis functions extracted
from natural images by ICA are sparse and similar to
localized and oriented receptive fields, and in the proposed
edge detection method, a target image is first transformed
by ICA basis functions and then the edges are detected or
reconstructed with sparse components. Furthermore, by
applying a shrinkage algorithm to filter out the
components of noise in ICA-domain, we can readily obtain
the sparse components of the original image, resulting in a
kind of robust edge detection even for a noisy image with a
very low SN ratio. The efficiency of the proposed method is
demonstrated by experiments with some natural images. |
| Description: | International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. |
| URI: | http://hdl.handle.net/123456789/20576 |
| Appears in Collections: | Conference Papers
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