Effects of image filters on various image datasets
| dc.contributor.MCBUauthor | Abidin, Didem | |
| dc.contributor.author | Abidin, Didem | |
| dc.contributor.department | Fakülteler > Mühendislik Ve Doğa Bilimleri Fakültesi > Bilgisayar Mühendisliği Bölümü | |
| dc.date.accessioned | 2025-01-07T07:18:35Z | |
| dc.date.available | 2025-01-07T07:18:35Z | |
| dc.date.issued | 2019-04-16 | |
| dc.description.abstract | Image classification is a very common research area, on which researchers work with various classification techniques. The aim of this study is to apply different filters on four different datasets and evaluate their performances in image classification. The study was performed in WEKA environment with Random Forest algorithm and image filters are applied to the datasets one by one and as a combination. Filter combinations got better performance than applying single filter on data. Filter combinations got the worst result on artworks with a percentage of 83.42%. However they were very successful on classifying the images in natural images dataset with a performance of 99.76%. | |
| dc.identifier.DOI-ID | 10.1145/3323933.3324056 | |
| dc.identifier.ORC-ID | 0000-0001-5966-7537 | |
| dc.identifier.categoryOfPublishedMaterial | Konferans Öğesi - Ulusal - Kurum Öğretim Elemanı | |
| dc.identifier.indices | Scopus (DOI) | |
| dc.identifier.indices | Web Of Science (WOS) | |
| dc.identifier.isbn | 9781450371810 | |
| dc.identifier.nameOfPublishedMaterial | ACM International conference proceeding series, 5th International conference on computer and technology applications | |
| dc.identifier.uri | http://akademikarsiv.cbu.edu.tr:4000/handle/123456789/26723 | |
| dc.language.iso | en | |
| dc.publisher | ICCTA | |
| dc.rights | açık erişim (open access) | |
| dc.subject | Image filters | |
| dc.subject | WEKA | |
| dc.subject | Machine learning | |
| dc.title | Effects of image filters on various image datasets | |
| dc.type | Diğer |