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Publication Ethics and Publication Malpractice Statement
Content
Volume 5 (2011)
Volume 5, Isuue 2-3
Pg 65 - 186 (December 2011)
Volume 5, Issue 1
Pg 1 - 64 (April 2011)
Volume 4 (2010)
Volume 4, Issue 3
Pg 209 - 305 (December 2010)
Volume 4, Issue 2
Pg 89 - 208 (August 2010)
Volume 4, Issue 1
Pg 1 - 87 (April 2010)
Volume 3 (2009)
Volume 3, Issue 3
Pg 193 - 265 (December 2009)
Volume 3, Issue 2
Pg 97 - 192 (August 2009)
Volume 3, Issue 1
Pg 1 - 95 (April 2009)
Volume 2 (2008)
Volume 2, Issue 3
Pg 209 - 291 (December 2008)
Volume 2, Issue 2
Pg 119 - 207 (August 2008)
Volume 2, Issue 1
Pg 1 - 118 (April 2008)
Volume 1 (2007)
Volume 1, Issue 3
Pg 251 - 340 (December 2007)
Volume 1, Issue 2
Pg 143 - 250 (August 2007)
Volume 1, Issue 1
Pg 1 - 142 (April 2007)
Categories
Computer Science and Artificial Intelligence
Engineering and Sciences
Materials Engineering
Mathematics and Statistics
Oceanography
All Journals
Current Development in Theory and Applications of Wavelets
Current Development in Theory and Applications of Wavelets
Volume 3, Issue 1, Pages 39 - 48 (April 2009)
A NOVEL ALGORITHM OF DYADIC WAVELET TRANSFORM FOR RS IMAGE EDGE DETECTION
Wei Fu (P. R. China) and Guang-Zhong Xing (P. R. China)
Abstract:
In the edge detection of RS (Remote Sensing) image, the useful detail losing and the spurious edge often appear. To solve the problem, we use the dyadic wavelet to detect the edge of surface features by combining the edge detecting with the multi-resolution analysing of the wavelet transform. Via the dyadic wavelet decomposing, we obtain the RS image of a certain appropriate scale, and figure out the edge data of the plane and the upright directions, respectively, then work out the grads vector module of the surface features, at last by tracing them we get the edge data of the object therefore build the RS image which obtains the checked edge. This method can depress the effect of noise and examine exactly the edge data of the object by rule and line. With an experiment of a RS image which obtains an airport, we certificate the feasibility of the application of dyadic wavelet in the object edge detection.
Keywords and phrases:
dyadic wavelet, edge detection and tracking, object recognition, remote sensing image.
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P-ISSN: 0973-5607
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