Name
Abstract | ||
|---|---|---|
In order to solve the problem of betel nuts' misclassification by manual ways, an automatic classification method based on computer vision is proposed in this paper. The new method achieves automatic classification by extracting color features, shape features and texture features of betel nuts. Experiments show that this method has good effect, high speed and can satisfy the real-time classification on production line. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ROBIO.2009.5420823 | ROBIO |
Keywords | Field | DocType |
betel nut,real-time classification,automatic classification,manual way,shape feature extraction,betel nuts misclassification,color feature,good effect,high speed,feature extraction,image classification,color feature extraction,computer vision,texture feature extraction,automatic classification method,image texture,real-time systems,new method,satisfiability,real time,production,shape,pixel,real time systems | Betel,Computer vision,Pattern recognition,Image texture,Computer science,Feature extraction,Betel nuts,Production line,Artificial intelligence,Pixel,Contextual image classification,Nut | Conference |
ISBN | Citations | PageRank |
978-1-4244-4775-6 | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tong Liu | 1 | 47 | 12.77 |
| Jianbin Xie | 2 | 30 | 6.68 |
| Yizheng He | 3 | 4 | 0.82 |
| Ming Xu | 4 | 6 | 1.19 |
| Chengang Qin | 5 | 4 | 0.82 |