Paper Title:
Local Extreme Extraction of Fabric Gray Feature Wave
  Abstract

Aiming at lack of effective algorithm for image gray feature wave analysis, this paper proposes a new local extreme extraction for image gray feature, which can establish full information of image feature wave for continue analysis. Firstly, the definition of image gray feature wave is given. Secondly, methods of local extreme extraction of feature wave are detail described, and specific calculation formulas are given. Finally, some examples of local extreme extraction of different fabric images are listed. Results show that this method is fast and easy, can exactly judge local extreme of feature wave, and lay a good foundation of data for continue image analysis and recognition.

  Info
Periodical
Key Engineering Materials (Volumes 460-461)
Edited by
Yanwen Wu
Pages
621-624
DOI
10.4028/www.scientific.net/KEM.460-461.621
Citation
X. C. Wang, "Local Extreme Extraction of Fabric Gray Feature Wave", Key Engineering Materials, Vols. 460-461, pp. 621-624, 2011
Online since
January 2011
Authors
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: Dong Sheng Jiang
Chapter 18: Mechanical and Electronic Engineering Control
Abstract:In the orientation of presswork, this paper prospects that an offset of presswork is a limited numerical value. The numerical value of offset...
6722
Authors: Ke Yang, Dan Tian, Liang Peng
Chapter 3: Numerical Methods, Computation Methods and Algorithms for Modeling, Simulation and Optimization, Data Mining and Data Processing
Abstract:Application of fuzzy mathematics theory for evaluation method based on fuzzy gravity center is presented, the results of expert scoring is...
1245
Authors: Ming Shun Jiang, Xiang Yang Li, Shi Cheng Wang, Shi Zeng Lu, Yin Qing, De Hua Shu, Yuan Ming Yuan, Yu Lei Zhao, Qing Mei Sui
Chapter 9: Signal and Image, Video Processing, Data Mining and Acquisition, Computational Mathematics and Algorithms
Abstract:Aluminum alloy structure impact localization system by using fiber Bragg grating (FBG) sensors and impact localization algorithm were...
664