Name
Abstract | ||
|---|---|---|
This paper deals with automatic object recognition (AOR) on a complex background. Based on the domain knowledge and principles of perceptual organization, a heuristic two-stage identifying algorithm is proposed to extract and identify small objects of unknown location in outdoor images of visible spectral bands. Corresponding heuristic knowledge and assumptions are used for each stage. This algorithm is capable of making effective use of two kinds of image features that are imperfect but have a certain degree of complementarity, i.e. regions and edges, thus enhancing the ability of the machine vision system to extract and identify 3D small objects on a complicated background. Experimental results have verified the effectiveness and practicality of the method proposed. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1016/0954-1810(96)00014-3 | Artificial Intelligence in Engineering |
Keywords | DocType | Volume |
multifeature selective integration,perceptual organization,machine vision,automatic object identification,artificial intelligence | Journal | 10 |
Issue | ISSN | Citations |
4 | 0954-1810 | 1 |
PageRank | References | Authors |
0.82 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianxu Zhang | 1 | 206 | 23.18 |
| Nong Sang | 2 | 475 | 72.22 |
| Guoyou Wang | 3 | 131 | 14.77 |
| Xiaowen Li | 4 | 372 | 112.54 |