Adaptive smoothing respecting feature directions

Rene A. Carmona, Sifen Zhong

Research output: Contribution to journalReview articlepeer-review

112 Scopus citations


Accurate extraction of the image feature directions is essential to image smoothing and other image processing tasks. We show that the gradient-based feature direction extraction method can be very erroneous. The gradient is too local, and it cannot detect oscillations. We have developed two new methods: the Hessian method, an approach using higher order differentiations, and the Gabor method, an approach using space-frequency analysis.

Original languageEnglish (US)
Pages (from-to)353-358
Number of pages6
JournalIEEE Transactions on Image Processing
Issue number3
StatePublished - 1998

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design


  • Adaptive smoothing
  • Anisotropic diffusion


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