✦ LIBER ✦

An efficient approach to texture-based image retrieval

✍ Scribed by Mahmoud R. Hejazi; Yo-Sung Ho

Publisher: John Wiley and Sons
Year: 2007
Tongue: English
Weight: 388 KB
Volume: 17
Category: Article
ISSN: 0899-9457
DOI: 10.1002/ima.20120

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

In this article, we present an efficient approach for image retrieval based on the textural information of an image, such as orientation, directionality, and regularity. For this purpose, we apply the nonlinear modified discrete Radon transform to estimate these visual contents. We then utilize texture orientation to construct the rotated Gabor transform for extraction of the rotation‐invariant texture feature. The rotation‐invariant texture feature, directionality, and regularity are the main features used in the proposed approach for similarity assessment. Experimental results on a large number of texture and aerial images from standard databases show that the proposed schemes for feature extraction and image retrieval significantly outperform previous works, including methods based on the MPEG‐7 texture descriptors. © 2008 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 295–302, 2007

📜 SIMILAR VOLUMES

An efficient reflection invariance regio

An efficient reflection invariance region-based image retrieval framework

✍ Chi-Chou Kao; Yen-Tai Lai; Chia-Hui Lin 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English

## Abstract The shape context is used as the shape feature descriptor in a region‐based image retrieval system. However, a given image is uneasy to be retrieved if the images are reflected. To retrieve efficiently different images, an efficient reflection invariance region‐based image retrieval fra

A noise-resilient collaborative learning

A noise-resilient collaborative learning approach to content-based image retrieval

✍ Xiaojun Qi; Samuel Barrett; Ran Chang 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 496 KB

We propose to combine short-term block-based fuzzy support vector machine (FSVM) learning and long-term dynamic semantic clustering (DSC) learning to bridge the semantic gap in content-based image retrieval. The short-term learning addresses the small sample problem by incorporating additional image

Rotation and scale invariant wavelet fea

Rotation and scale invariant wavelet feature for content-based texture image retrieval

✍ Moon-Chuen Lee; Chi-Man Pun 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 684 KB

A Rotation, Translation, and Scale-Invar

A Rotation, Translation, and Scale-Invariant Approach to Content-Based Image Retrieval

✍ Ruggero Milanese; Michel Cherbuliez 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 307 KB

We describe a method for computing an image signature, suitable for contentbased retrieval from image databases. The signature is extracted from the Fourier power spectrum by performing a mapping from cartesian to logarithmic-polar coordinates, projecting this mapping onto two 1D signature vectors,

Tag-based social image retrieval: An emp

Tag-based social image retrieval: An empirical evaluation

✍ Aixin Sun; Sourav S. Bhowmick; Khanh Tran Nam Nguyen; Ge Bai 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 847 KB

A cluster-based approach for efficient c

A cluster-based approach for efficient content-based image retrieval using a similarity-preserving space transformation method

✍ Biren Shah; Vijay Raghavan; Praveen Dhatric; Xiaoquan Zhao 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 328 KB 👁 3 views

The techniques of clustering and space transformation have been successfully used in the past to solve a number of pattern recognition problems. In this article, the authors propose a new approach to content-based image retrieval (CBIR) that uses (a) a newly proposed similarity-preserving space tran