Modified Hough transforms for object feature extraction

J. F. Yang, S. S. Hao

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In this paper, we propose the use of modified Hough transforms to efficiently extract object feature parameters, which are usually contaminated by heavily noisy corrugation and discontinuity. The modified HT (MHT) is developed by introducing spatial and parameter weighting functions to improve the detection performance for the traditional Hough transform (HT), which generally fails to robustly detect natural object parameters. Using designed test patterns and real images, simulations show that the proposed weighting functions are helpful in detecting noise-corrupted object features. Due to its robustness, the MHT can be easily figured with a coarse-to-fine adaptive search mechanism to reduce the huge amount of computation for feature parameters extraction.

Original languageEnglish
Pages (from-to)133-145
Number of pages13
JournalJournal of Information Science and Engineering
Issue number1
Publication statusPublished - 2001 Jan 1

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Hardware and Architecture
  • Library and Information Sciences
  • Computational Theory and Mathematics


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