Loading...
Please wait, while we are loading the content...
Similar Documents
Classificação do óleo de algodão em processo de semirrefino usando técnicas de processamento de imagem
| Content Provider | Semantic Scholar |
|---|---|
| Author | Araújo, Patrícia Dias De Moya, Maria Victoria Mera Júnior, Iális Cavalcante Paula |
| Copyright Year | 2017 |
| Abstract | The present article presents a classification model of steps in the process of semi refining of cotton oil by image processing. A simple system of efficient analysis was obtained, allowing its use on the factory floor, thus assisting in the process as to the assertiveness in the desired semi-refined state and its quality control. Two different pattern recognition algorithms were used: K-Nearest Neighbor and Quadratic Discriminant Analysis, with validation of the Leave-one-out strategy. Both algorithms achieved hit rates of more than 90%, with QDA being the best result with more than 94% accuracy. Keywords— Oil Classification, Cotton Oil, Image Processing, KNN, QDA, Matrix of Confusion, Leave-one-out. |
| File Format | PDF HTM / HTML |
| DOI | 10.14209/sbrt.2017.166 |
| Alternate Webpage(s) | http://www.sbrt.org.br/sbrt2017/anais/1570361416.pdf |
| Alternate Webpage(s) | https://doi.org/10.14209/sbrt.2017.166 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
