Welcome to visit《 Journal of Air Force Engineering University 》Official website!

Consultation hotline:029-84786242 RSS EMAIL-ALERT
Texture segmentation method by incomplete tree-structured wavelet transform and FKCN
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

TP391

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    A new type of incomplete tree-structured wavelet transform used for texture feature extract10n is proposed in this paper , a new texture segmentation method consistent with human visual process and based on incomplete tree-structured wavelet transform and fuzzy clustering network(FKCN)is proposed also in this paper. It consists of three mam steps: 1 )feature extractlOn usmg mcomplete tree-structured wavelet transform ; 2 )feature coarse classification using fuzzy Kohonen clustering network. network is trained using the reduced set of feature vectors and get the coarse segmentation result ;and3)refine the coarse segmentation result. After the refinement of the coarse segmentation result , the final segmentation result is obtamed. Texture segmentation expenments give the effectiveness of this method.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: November 19,2015
  • Published:
Article QR Code