✦ LIBER ✦

Multiwavelets domain singular value features for image texture classification

✍ Scribed by S. Ramakrishnan; S. Selvan

Book ID: 111840657
Publisher: SP Zhejiang University Press
Year: 2007
Tongue: English
Weight: 747 KB
Volume: 8
Category: Article
ISSN: 1009-3095
DOI: 10.1631/jzus.2007.a0538

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Singular Value Decomposition based Featu

Singular Value Decomposition based Features for Vehicle Classification under Cluttered Background and Mild Occlusion

✍ B. Nagarajan; V. Devendran 📂 Article 📅 2012 🏛 Elsevier 🌐 English ⚖ 980 KB

A study of Gaussian mixture models of co

A study of Gaussian mixture models of color and texture features for image classification and segmentation

✍ Haim Permuter; Joseph Francos; Ian Jermyn 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 631 KB

Definition of a comprehensive set of tex

Definition of a comprehensive set of texture semivariogram features and their evaluation for object-oriented image classification

✍ A. Balaguer; L.A. Ruiz; T. Hermosilla; J.A. Recio 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 473 KB

Textural feature selection by joint mutu

Textural feature selection by joint mutual information based on Gaussian mixture model for multispectral image classification

✍ Mounir Ait Kerroum; Ahmed Hammouch; Driss Aboutajdine 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 424 KB

Textural features play increasingly an important role in remotely sensed images classification and many pattern recognition applications. However, the selection of informative ones with highly discriminatory ability to improve the classification accuracy is still one of the well-known problems in re

Wavelet based co-occurrence histogram fe

Wavelet based co-occurrence histogram features for texture classification with an application to script identification in a document image

✍ P.S. Hiremath; S. Shivashankar 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 851 KB

168 oral THE ADDED VALUE OF TEXTURE- AND

168 oral THE ADDED VALUE OF TEXTURE- AND SHAPE-BASED FEATURES FROM CT-IMAGING FOR RESPONSE PREDICTION IN LOCALLY ADVANCED RECTAL CANCER

✍ R. van Stiphout; H. Aerts; M. Janssen; G. Lammering; E. Postma; P. Lambin 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 98 KB