Abstract | ||
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Modeling of 3-D Joint Set Interpretation In order to estimate rock joint parameters, such as strikes and dips which geologists often inspect on site andlor calculate through 3- D joint surface recognition by use of stereo-photo system, an image processing algorithm of joint set modeling which simply simulates their interpretation is designed. Comparing resultant parameters in Schmidt-net diagrams, it is confirmed that the algorithm based on an edge-base stereo matching can treat 3-D joint parameters, while further enhancement of noiseless edge-detection algorithm has been needed. Procedure of 3-D joint set interpretation can be broken down into three sequential stages: adoptive edge recognition. recognition of undulations on a rock surface, and estimation of joint surfaces. Since joints are revealed as edges in photo-images, these three stages can be realized to correspond to three procedures of edge-based digital image processing: edge extraction, edge-base stereo matching, and edge- grouping, respectively. |
Year | Venue | Keywords |
---|---|---|
1994 | MVA | image processing,edge detection,digital image processing |
Field | DocType | Citations |
Stereo matching,Template matching,Computer vision,Edge extraction,Pattern recognition,Image processing,Joint (geology),Artificial intelligence,Digital image processing,Mathematics | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Takeshi Doihara | 1 | 0 | 1.01 |
Tatsuo Ikeda | 2 | 0 | 0.34 |
Kazuo Oda | 3 | 179 | 62.15 |
Masahiro Idogaki | 4 | 0 | 0.34 |
Yasuo Uchita | 5 | 0 | 0.34 |
Kazuhiko Onuma | 6 | 0 | 0.34 |
Yoshizumi Yasuda | 7 | 0 | 1.01 |