Paper Title:
A Method of Image Texture Feature Analysis Base on Wavelet Decomposition and its Application
  Abstract

A method for analyzing the textural features of image is put forward by using the wavelet decomposition. That is used to measure color difference of ceramic tiles on-line. A linear array color CCD camera is used to grab the image of ceramic tiles, and then the image is pretreated. Two level wavelet decomposition is used on the ceramic tile image, and the energy feature of each sub-graph is extracted. The energy feature will be used as a feature matrix,and it can be carried out the classfication according to minimum distance classifier. It can reflect spatial relationship of color more effectively, when contrast with the color histogram, which is used as a traditional method. Experiments show that it is effective using wavelet analysis on image processing,and the sort results are approximately in accordance with the artificial detection.

  Info
Periodical
Edited by
Han Zhao
Pages
381-384
DOI
10.4028/www.scientific.net/AMM.130-134.381
Citation
Y. B. Li, B. G. Wang, W. W. Li, "A Method of Image Texture Feature Analysis Base on Wavelet Decomposition and its Application", Applied Mechanics and Materials, Vols. 130-134, pp. 381-384, 2012
Online since
October 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: Yong Jiang, Ya Ping Wang, Dong Mei Zhao
Chapter 2: Innovation Engineering Management
Abstract:The paper analyzes the difference between useful signal and noise signal in dissemination characteristic inside wavelet space in...
176
Authors: Chen Ding
Chapter 2: Light/Radiation Monitoring
Abstract:Information redundancy and complementarity are existing between the images obtained by multi-sensor, image fusion can improve the certainty...
229
Authors: An Bing Zhang, Tian Yang Chen, Xin Xia Liu, Yu Jie Zhang, Yan Tao Yang
Chapter 3: Technologies and Methods of Processing Data, Images and Signals
Abstract:Analyses of GPS signals by wavelet algorithms and empirical mode decomposition (EMD) have demonstrated the strength of these techniques in...
261
Authors: Qi Cai Chi, Min Zhou, Shi Jian Zhou, Feng Wei Wang
Chapter 4: Data and Signal Processing, Computational Methods and Algorithms
Abstract:The end effect of the local Mean Decomposition (LMD) causes serious distortion of the LMD decomposition results. And the most important...
574