Filtered fractals and texture analysis

A. H. Tewfik; M. Deriche

Filtered fractals and texture analysis

A. H. Tewfik
, M. Deriche

University of Minnesota Twin Cities

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

1 Scopus citations

Abstract

Filtered 2-D fractionally differenced discrete processes are proposed as texture models. An iterative algorithm is presented for estimating the parameters of the model from a given texture image. Synthesized textures are provided to demonstrate the power of the proposed model.

Original language	English
Pages (from-to)	244-254
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1349
State	Published - 1990
Externally published	Yes
Event	Applications of Digital Image Processing XIII - San Diego, CA, USA Duration: 10 Jul 1990 → 13 Jul 1990

Cite this

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title = "Filtered fractals and texture analysis",

abstract = "Filtered 2-D fractionally differenced discrete processes are proposed as texture models. An iterative algorithm is presented for estimating the parameters of the model from a given texture image. Synthesized textures are provided to demonstrate the power of the proposed model.",

author = "Tewfik, \{A. H.\} and M. Deriche",

year = "1990",

language = "English",

volume = "1349",

pages = "244--254",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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publisher = "SPIE",

note = "Applications of Digital Image Processing XIII ; Conference date: 10-07-1990 Through 13-07-1990",

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TY - JOUR

T1 - Filtered fractals and texture analysis

AU - Tewfik, A. H.

AU - Deriche, M.

PY - 1990

Y1 - 1990

N2 - Filtered 2-D fractionally differenced discrete processes are proposed as texture models. An iterative algorithm is presented for estimating the parameters of the model from a given texture image. Synthesized textures are provided to demonstrate the power of the proposed model.

AB - Filtered 2-D fractionally differenced discrete processes are proposed as texture models. An iterative algorithm is presented for estimating the parameters of the model from a given texture image. Synthesized textures are provided to demonstrate the power of the proposed model.

UR - https://www.scopus.com/pages/publications/0025534813

M3 - Conference article

AN - SCOPUS:0025534813

SN - 0277-786X

VL - 1349

SP - 244

EP - 254

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Applications of Digital Image Processing XIII

Y2 - 10 July 1990 through 13 July 1990

ER -

Filtered fractals and texture analysis

Abstract

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