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

Cite this

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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",

doi = "10.1109/83.661185",

language = "English (US)",

volume = "7",

pages = "353--358",

journal = "IEEE Transactions on Image Processing",

issn = "1057-7149",

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

number = "3",

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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

UR - https://www.scopus.com/pages/publications/0032028277

UR - https://www.scopus.com/pages/publications/0032028277#tab=citedBy

U2 - 10.1109/83.661185

DO - 10.1109/83.661185

M3 - Review article

C2 - 18276255

AN - SCOPUS:0032028277

SN - 1057-7149

VL - 7

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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