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Adaptive smoothing respecting feature directions

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2 Author(s)
R. A. Carmona ; Dept. of Civil Eng. & Oper. Res., Princeton Univ., NJ, USA ; Sifen Zhong

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 (1946) method, an approach using space-frequency analysis

Published in:

IEEE Transactions on Image Processing  (Volume:7 ,  Issue: 3 )