Diftogram: A Better Texture Discriminator
| dc.contributor.author | Baykal, Ibrahim Cem | |
| dc.date.accessioned | 2025-01-06T17:43:17Z | |
| dc.date.available | 2025-01-06T17:43:17Z | |
| dc.date.issued | 2018 | |
| dc.description | International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEY | |
| dc.description.abstract | This article aims to design the most efficient texture discriminator by proposing two alterations to the existing algorithms. The first argument presented in this article is that the direct use of Unser's difference histogram (not sum) as input to a classifier yields more successful results than Haralick's method. The second proposal is the introduction of two different methods for the selection of the pixel distance and the orientation. Both mathematical and empirical evidence is presented, proving that these methods improve the texture discrimination rate by %250-%300 while reducing the computational complexity by %50. | |
| dc.description.sponsorship | Inonu Univ, Comp Sci Dept,IEEE Turkey Sect,Anatolian Sci | |
| dc.description.sponsorship | Adana Science and Technology University Scientific Research Coordination Unit [16103010] | |
| dc.description.sponsorship | This work was funded by Adana Science and Technology University Scientific Research Coordination Unit. Project number: 16103010. | |
| dc.identifier.isbn | 978-1-5386-6878-8 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14669/2598 | |
| dc.identifier.wos | WOS:000458717400171 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 2018 International Conference on Artificial Intelligence and Data Processing (Idap) | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_20241211 | |
| dc.subject | Image processing | |
| dc.subject | linear discriminant analysis | |
| dc.subject | neural networks | |
| dc.subject | pattern recognition | |
| dc.subject | texture feature extraction | |
| dc.title | Diftogram: A Better Texture Discriminator | |
| dc.type | Conference Object |
