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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhang, H.G. Wang, Q. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Autom. Test & Control, Harbin Inst. of Technol., China (Zhang, H.G.) |
| Abstract | Automation of pavement surface distress survey is of considerable interest since it facilitates road maintenance. Pavement distress detection algorithm is proposed, which includes preprocessing and artificial life algorithm. In nature, bee population consists of different species of bees. Different species of bees cooperate with others and build combs. The process of building combs is based on a bottom-up structure instead of a top-down centralized controller like expert system and exhibits the emergent properties of bee population. Artificial living system in artificial life algorithm is very similar to bee population. In artificial life algorithm, artificial living system is an artificial population, which is composed of different species of artificial organisms. Artificial living system is based on a bottom-up synthetic approach and exhibits its emergent properties for distress detection. Experimental results demonstrate the proposed method has strong effect on noise removal, oilstains elimination and the rid of dark spots. |
| Starting Page | 2486 |
| Ending Page | 2490 |
| File Size | 1064355 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780387309 |
| DOI | 10.1109/IECON.2004.1432191 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-11-02 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Noise shaping Automatic testing Automatic control Roads Detection algorithms Organisms Classification algorithms Neural networks Petroleum |
| Content Type | Text |
| Resource Type | Article |
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