DocumentCode :
2619686
Title :
Using geometric processing in the visualization of ring features in tomographic images of wood
Author :
Tsui, Kenneth K.
Author_Institution :
Div. of Inf. Technol., CSIRO, Sydney, NSW, Australia
Volume :
3
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
547
Abstract :
We have developed a texture-based ring tracing algorithm to allow region-of-interest to be selected in terms of growth ring geometry during interactive visualization of 3D log data, as opposed to traditional way of selecting by voxel values alone. To pick out a single ring structure, we use a Fourier texture analyser to convert an image into a vector field so that a curve can be traced from any starting point easily. The extracted curve is thickened with the morphological distance transform. The thickened curve is used as a mask to filter the log data spatially and the result sent to a standard volume renderer for visualization. This allows a small region around a growth ring to be visualized, which is crucial to identifying certain defects in wood. The texture-based approach is more immune to noise, is better at discriminating non-ring features, and is more suitable for single curve tracing than traditional edge detection methods
Keywords :
computerised tomography; data visualisation; edge detection; fast Fourier transforms; feature extraction; image segmentation; image texture; wood processing; 3D log data; FFT; Fourier texture analyser; edge detection methods; extracted curve; geometric processing; growth ring geometry; interactive visualization; morphological distance transform; noise immunity; nonring features discrimination; region of interest; ring feature visualization; standard volume renderer; texture-based ring tracing algorithm; tomographic images; vector field; wood; wood defects identification; Australia; Computed tomography; Data mining; Data visualization; Filters; Glass; Image analysis; Image edge detection; Information geometry; Information technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560553
Filename :
560553
Link To Document :
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