Amanote Research

Amanote Research

    RegisterSign In

Extracting and Mathematical Identifying Form of Stationary Noise in X-Ray Images

Forma
doi 10.5047/forma.2014.s006
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2014

Authors
Akihiro SugiuraKiyoko YokoyamaHiroki TakadaAkiko IhoriNaruomi YasudaTakahiro Yoshida
Publisher

Terrapub


Related search

X-Ray Images of PKS1209-52 and Its Central Compact X-Ray Source

International Astronomical Union Colloquium
1988English

“Art” in X-Ray Tomography: Image Noise Reduction

2007English

Structure Detection in Low Intensity X-Ray Images

Astronomy and Astrophysics Supplement Series
1998English

Contrast Enhancement of Micro Dose X-Ray Images

2014English

(5) Data Compression of Digital X-Ray Images

Nippon Hoshasen Gijutsu Gakkai zasshi
Medicine
1992English

Bayesian Soft X-Ray Tomography Using Non-Stationary Gaussian Processes

Review of Scientific Instruments
MedicineInstrumentation
2013English

Advances in Automatic Tuberculosis Detection in Chest X-Ray Images

Signal & Image Processing : An International Journal
2014English

Three-Dimensional Snow Images by X-Ray Microtomography

Annals of Glaciology
Earth-Surface Processes
2001English

440. Evalution of X-Ray Images Using Fuzzy Inference

Nippon Hoshasen Gijutsu Gakkai zasshi
Medicine
1991English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy