• DocumentCode
    302879
  • Title

    A robust and real-time texture analysis system using a distributed workstation cluster

  • Author

    You, J. ; Cohen, H.A. ; Zhu, W.P. ; Pissaloux, E.

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Univ. of South Australia, The Levels, SA, Australia
  • Volume
    4
  • fYear
    1996
  • fDate
    7-10 May 1996
  • Firstpage
    2207
  • Abstract
    This paper presents a parallel approach to the development of a real-time system for recognition of textured objects. In order to find an efficient and effective approach to identify and localize objects in textured images invariant of translation, rotation and scale changes and occlusion, we propose a new method which involves dynamic texture feature extraction and hierarchical image matching. Based on our previous work, we extend the concept of interesting points and develop a dynamic detection procedure on texture energy image which is in conjunction with Laws´ texture energy concept and our mask tuning scheme. The search for the best fit between two objects in terms of Hausdorff distance is guided through an interesting point pyramid from coarse level to fine level. In addition, unlike current approaches which mostly rely on specialized multiprocessor architectures for fast processing, we use a distributed workstation cluster to support parallelism, which provides a different approach to real-time computing and is applicable to many classes of tasks
  • Keywords
    feature extraction; image matching; image resolution; image texture; object recognition; parallel algorithms; real-time systems; Hausdorff distance; Laws´ texture energy concept; coarse level; distributed workstation cluster; dynamic detection procedure; dynamic texture feature extraction; fine level; hierarchical image matching; interesting point pyramid; mask tuning; parallel approach; robust real-time texture analysis system; texture energy image; textured image; textured objects; Computer architecture; Concurrent computing; Distributed computing; Feature extraction; Image matching; Image texture analysis; Parallel processing; Real time systems; Robustness; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-3192-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1996.545859
  • Filename
    545859