DocumentCode
2230845
Title
Directional filtering as a multi-purpose tool in image processing
Author
Guo, Wanwn ; Li, Dongguang ; Watson, Anthony
Author_Institution
Sch. of Comput. & Inf. Sci., Edith Cowan Univ., Mount Lawley, WA, Australia
Volume
1
fYear
2001
fDate
2001
Firstpage
332
Abstract
Directional filtering is commonly known as a technique for selective linear enhancement. In addition to this traditional utility, we present in this paper some examples demonstrating that it can be used as a multi-purpose tool in image processing, by adjusting its parameters. These examples show that: (1) applying directional filtering in conjugate directions simultaneously can lead to the enhancement of specific conjugate linear features on an image, which is useful in interpretation of geophysical and Landsat images, satellite and aerial photographs that contain many conjugate linear features; (2) directional filtering can be used as illuminating sources to produce shaded relief images that show 3D effect; by combining the directional filtered result with its original image, this 3D effect becomes much more profound; (3) the directional filtered result can be weighted by different factors, which allows some subtle features on an image to be identified
Keywords
digital filters; feature extraction; geophysical signal processing; image enhancement; remote sensing; 3D effect; Landsat images; conjugate linear features; directional filtering; geophysical images; image interpretation; image processing; multi-purpose tool; selective linear enhancement; shaded relief images; subtle feature identification; Australia; Image processing; Information filtering; Information filters; Information science; Laplace equations; Magnetic separation; Nonlinear filters; Remote sensing; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location
Beijing
Print_ISBN
0-7803-7010-4
Type
conf
DOI
10.1109/ICII.2001.982768
Filename
982768
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