Paper Title:
Contourlet-1.3 Texture Retrieval Using Absolute Mean Energy and Kurtosis Features
  Abstract

To improve the texture image retrieval rate of contourlet texture image retrieval system, a contourlet-1.3 transform based texture image retrieval system was proposed. In the system, the contourlet transform was contourlet-1.3, a new version of the original contourlet, sub-bands absolute mean energy and kurtosis in each contourlet-1.3 sub-band were cascaded to form feature vectors, and the similarity metric was Canberra distance. Experimental results on 109 brodatz texture images show that using the features cascaded by absolute mean energy and kurtosis can lead to a higher retrieval rate than the combination of standard deviation and absolute mean energy which is most commonly used today under same dimension of feature vectors. Contourlet-1.3 transform based image retrieval system is superior to those of the original contourlet, non-subsampled contourlet and contourlet-2.3 systems under same system structure with same dimension of feature vectors, retrieval time and memory needed.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
327-330
DOI
10.4028/www.scientific.net/AMM.48-49.327
Citation
X. W. Chen, L. W. Liu, "Contourlet-1.3 Texture Retrieval Using Absolute Mean Energy and Kurtosis Features", Applied Mechanics and Materials, Vols. 48-49, pp. 327-330, 2011
Online since
February 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Ma Hua Wang
Session 2: Biomaterial Science
Abstract:For the sake of overcoming the shortage of transitional region and marginal area information loss, especially lost texture information...
492
Authors: Min Cao, Shan Shan Tan, Quan Fei Shen
Chapter 2: Microwaves Optics and Image
Abstract:After analysising the principle of nonsubsampled contourlet transform, the image fusion model based on HIS transform and nonsubsampled...
659
Authors: Ching Hung Su, Chiun Hsiun Lin, Hsuan Shu Huang, Kuo Chin Fan
Chapter 12: Computer-Aided Design, Manufacturing and Engineering
Abstract:We propose a practical cartoon image retrieval scheme to retrieve cartoon images efficiently. The proposed scheme transfers each cartoon...
5308
Authors: Ko Chin Chang
Abstract:For general image capture device, it is difficult to obtain an image with every object in focus. To solve the fusion issue of multiple same...
119
Authors: Yao Qi Wang, Xiao Peng Wang, Raji Rafiu King
Chapter 18: Development Computer Applications in Industry, Networks Applications
Abstract:A new DWT (Discrete Wavelet Transform) algorithm is proposed based on data storage. Since the image data stored in the memory position with...
2805