Name
Abstract | ||
|---|---|---|
•We proposed a system for automatic char detection and classification in images.•Supervised learning with texture information allows to detect chars accurately.•Identified char particles are classified into high/low reactivity morphology groups.•This system may help researchers in coal combustion to analyse char morphology. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compind.2018.12.014 | Computers in Industry |
Keywords | Field | DocType |
Char coal morphology,Particle detection,Particle classification,Image processing,Candidate regions,Machine learning | Combustion,Biological system,Combustor,Support vector machine classifier,Image processing,Control engineering,Coal,Engineering,Coal combustion products,Particle,Char | Journal |
Volume | ISSN | Citations |
106 | 0166-3615 | 0 |
PageRank | References | Authors |
0.34 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deisy Chaves | 1 | 0 | 0.68 |
| Emanuele Trucco | 2 | 1236 | 116.32 |
| Juan Barraza | 3 | 0 | 0.68 |
| María Trujillo | 4 | 11 | 5.38 |