Name
Abstract | ||
|---|---|---|
In order to improve performance of artificial neural networks (ANNs) generating texture images, simplified olfactory bionic model (SOBM) to generate texture images is proposed by Zhang in 2008. In this paper, a series of related researches are surveyed. SOBM is introduced from three aspects and texture images with different style are surveyed. Otherwise, SOBM are analyzed synthetically from qualitative and quantitive aspects according to different factors effecting texture images. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34481-7_39 | ICONIP |
Keywords | Field | DocType |
different style,different factor,texture image,olfactory bionic model,artificial neural network,quantitive aspect | Computer vision,Pattern recognition,Image texture,Computer science,Artificial intelligence,Artificial neural network | Conference |
Volume | ISSN | Citations |
7664 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin Zhang | 1 | 16 | 3.20 |
| Yang Deng | 2 | 11 | 3.78 |
| Li Yong-jun | 3 | 0 | 0.34 |
| Ying Wang | 4 | 49 | 12.24 |
| Rulong Wang | 5 | 2 | 1.78 |