Adaptive smoothing respecting feature directions

Rene A. Carmona; Sifen Zhong

doi:10.1109/83.661185

Adaptive smoothing respecting feature directions

Rene A. Carmona, Sifen Zhong

Research output: Contribution to journal › Review article › peer-review

112 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	353-358
Number of pages	6
Journal	IEEE Transactions on Image Processing
Volume	7
Issue number	3
DOIs	https://doi.org/10.1109/83.661185
State	Published - 1998

All Science Journal Classification (ASJC) codes

Software
Computer Graphics and Computer-Aided Design

Keywords

Adaptive smoothing
Anisotropic diffusion

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10.1109/83.661185

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title = "Adaptive smoothing respecting feature directions",

abstract = "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.",

keywords = "Adaptive smoothing, Anisotropic diffusion",

author = "Carmona, {Rene A.} and Sifen Zhong",

year = "1998",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - Adaptive smoothing respecting feature directions

AU - Carmona, Rene A.

AU - Zhong, Sifen

PY - 1998

Y1 - 1998

N2 - 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.

AB - 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.

KW - Adaptive smoothing

KW - Anisotropic diffusion

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DO - 10.1109/83.661185

M3 - Review article

C2 - 18276255

AN - SCOPUS:0032028277

SN - 1057-7149

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SP - 353

EP - 358

JO - IEEE Transactions on Image Processing

JF - IEEE Transactions on Image Processing

IS - 3

ER -

Adaptive smoothing respecting feature directions

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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