✦ LIBER ✦

Image feature extraction for classification of aggressive interactions among pigs

✍ Scribed by Viazzi, S.; Ismayilova, G.; Oczak, M.; Sonoda, L.T.; Fels, M.; Guarino, M.; Vranken, E.; Hartung, J.; Bahr, C.; Berckmans, D.

Book ID: 122121527
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 390 KB
Volume: 104
Category: Article
ISSN: 0168-1699
DOI: 10.1016/j.compag.2014.03.010

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Feature extraction for target identifica

Feature extraction for target identification and image classification of OMIS hyperspectral image

✍ Pei-jun DU; Kun TAN; Hong-jun SU 📂 Article 📅 2009 🏛 Elsevier 🌐 English ⚖ 914 KB

Comparison of image feature extraction f

Comparison of image feature extraction for classification of swine thermal comfort behavior

✍ J. Shao; H. Xin; J.D. Harmon 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 257 KB

Extraction of shift invariant wavelet fe

Extraction of shift invariant wavelet features for classification of images with different sizes

✍ Chi-Man Pun; Moon-Chuen Lee 📂 Article 📅 2004 🏛 IEEE 🌐 English ⚖ 734 KB

Feature extraction from multi-directiona

Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images

✍ Michael Häfner; Roland Kwitt; Andreas Uhl; Alfred Gangl; Friedrich Wrba; Andreas 📂 Article 📅 2008 🏛 Springer-Verlag 🌐 English ⚖ 379 KB

An interactive procedure for extracting

An interactive procedure for extracting features of the brain from magnetic resonance images: The lobes

✍ Ronald J. Killiany; Mark B. Moss; Tim Nicholson; Ferenc Jolesz; Tamas Sandor 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 227 KB 👁 1 views

The human brain can be subdivided many ways depending upon the criteria used. One of the most basic approaches is to subdivide the cortical regions into functional units composed of the frontal, occipital, parietal, and temporal lobes. To date, the process of reliably extracting measurements of the

SPIE Proceedings [SPIE SPIE Medical Imag

SPIE Proceedings [SPIE SPIE Medical Imaging - Lake Buena Vista, FL (Saturday 7 February 2009)] Medical Imaging 2009: Computer-Aided Diagnosis - Multi-scale feature extraction for learning-based classification of coronary artery stenosis

✍ Tessmann, Matthias; Vega-Higuera, Fernando; Fritz, Dominik; Scheuering, Michael; 📂 Article 📅 2009 🏛 SPIE ⚖ 472 KB