Name
Abstract | ||
|---|---|---|
Fuzzy morphological polynomial (FMP) signal representation provides the merits of compact representation and low computation complexity. Based on FMP representation, a theoretical study for object recognition is presented in this paper. The study indicates that superior properties of FMP can be used to develop an object recognition system. Examples are given to illustrate the effectiveness of FMP representation for object recognition. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-22720-2_34 | ADVANCES IN COMPUTING AND COMMUNICATIONS, PT III |
Keywords | Field | DocType |
fuzzy mathematical morphology,object recognition,signal representation | Polynomial,Pattern recognition,Computer science,Fuzzy logic,Fuzzy mathematical morphology,Artificial intelligence,Computation complexity,Cognitive neuroscience of visual object recognition | Conference |
Volume | ISSN | Citations |
192 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chin-Pan Huang | 1 | 57 | 7.56 |
| Ping Sheng Huang | 2 | 20 | 3.12 |
| Chaur-Heh Hsieh | 3 | 354 | 46.89 |
| Tsorng-Lin Chia | 4 | 59 | 10.26 |