✦ LIBER ✦

Texture classification using invariant ranklet features

✍ Scribed by Matteo Masotti; Renato Campanini

Publisher: Elsevier Science
Year: 2008
Tongue: English
Weight: 533 KB
Volume: 29
Category: Article
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2008.06.017

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Rotation-invariant texture classificatio

Rotation-invariant texture classification using feature distributions

✍ M Pietikäinen; T Ojala; Z Xu 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 668 KB

Texture classification using Gabor wavel

Texture classification using Gabor wavelets based rotation invariant features

✍ S. Arivazhagan; L. Ganesan; S. Padam Priyal 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 578 KB

Invariant and adaptive geometrical textu

Invariant and adaptive geometrical texture features for defect detection and classification

✍ D.R. Rohrmus 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 702 KB

Texture classification using features de

Texture classification using features derived from random field models

✍ R.L. Kashyap; R. Chellappa; A. Khotanzad 📂 Article 📅 1982 🏛 Elsevier Science 🌐 English ⚖ 513 KB

Texture classification using texture spe

Texture classification using texture spectrum

✍ Li Wang; Dong-Chen He 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 784 KB

Automated classification of protein crys

Automated classification of protein crystallization images using support vector machines with scale-invariant texture and Gabor features

✍ Pan, Shen ;Shavit, Gidon ;Penas-Centeno, Marta ;Xu, Dong-Hui ;Shapiro, Linda ;La 📂 Article 📅 2006 🏛 International Union of Crystallography 🌐 English ⚖ 921 KB

Protein crystallography laboratories are performing an increasing number of experiments to obtain crystals of good diffraction quality. Better automation has enabled researchers to prepare and run more experiments in a shorter time. However, the problem of identifying which experiments are successfu