Diftogram: A Better Texture Discriminator
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Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © 2018 IEEE.
Açıklama
2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 -- 28 September 2018 through 30 September 2018 -- Malatya -- 144523
Anahtar Kelimeler
Image processing, linear discriminant analysis, neural networks, pattern recognition, texture feature extraction
Kaynak
2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018
