Literature DB >> 21869220

Multiple resolution texture analysis and classification.

S Peleg1, J Naor, R Hartley, D Avnir.   

Abstract

Textures are classified based on the change in their properties with changing resolution. The area of the gray level surface is measured at serveral resolutions. This area decreases at coarser resolutions since fine details that contribute to the area disappear. Fractal properties of the picture are computed from the rate of this decrease in area, and are used for texture comparison and classification. The relation of a texture picture to its negative, and directional properties, are also discussed.

Year:  1984        PMID: 21869220     DOI: 10.1109/tpami.1984.4767557

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  24 in total

1.  Comparison of heart rate variability analysis methods in patients with Parkinson's disease.

Authors:  M Kallio; K Suominen; A M Bianchi; T Mäkikallio; T Haapaniemi; S Astafiev; K A Sotaniemi; V V Myllyä; U Tolonen
Journal:  Med Biol Eng Comput       Date:  2002-07       Impact factor: 2.602

2.  Texture analysis of X-ray radiographs of iliac bone is correlated with bone micro-CT.

Authors:  P Guggenbuhl; F Bodic; L Hamel; M F Baslé; D Chappard
Journal:  Osteoporos Int       Date:  2006-01-14       Impact factor: 4.507

3.  Radiomics: a new application from established techniques.

Authors:  Vishwa Parekh; Michael A Jacobs
Journal:  Expert Rev Precis Med Drug Dev       Date:  2016-03-31

4.  Characterization and classification of tumor lesions using computerized fractal-based texture analysis and support vector machines in digital mammograms.

Authors:  Qi Guo; Jiaqing Shao; Virginie F Ruiz
Journal:  Int J Comput Assist Radiol Surg       Date:  2008-10-28       Impact factor: 2.924

5.  Characterisation of structural changes in the arterial elastic matrix by a new fractal feature: directional fractal curve.

Authors:  C F Jiang; A P Avolio
Journal:  Med Biol Eng Comput       Date:  1997-05       Impact factor: 2.602

6.  Characterization of the surface roughness of sand particles using an advanced fractal approach.

Authors:  Hongwei Yang; Béatrice A Baudet; Ting Yao
Journal:  Proc Math Phys Eng Sci       Date:  2016-10       Impact factor: 2.704

7.  Rapid quantification of mitochondrial fractal dimension in individual cells.

Authors:  Isaac Vargas; Kinan Alhallak; Olivia I Kolenc; Samir V Jenkins; Robert J Griffin; Ruud P M Dings; Narasimhan Rajaram; Kyle P Quinn
Journal:  Biomed Opt Express       Date:  2018-10-09       Impact factor: 3.732

8.  Dynamic fractal signature dissimilarity analysis for therapeutic response assessment using dynamic contrast-enhanced MRI.

Authors:  Chunhao Wang; Ergys Subashi; Fang-Fang Yin; Zheng Chang
Journal:  Med Phys       Date:  2016-03       Impact factor: 4.071

9.  On the recognition of order and disorder.

Authors:  M Markus; S C Müller; T Plesser; B Hess
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

10.  Lung texture in serial thoracic CT scans: registration-based methods to compare anatomically matched regions.

Authors:  Alexandra R Cunliffe; Samuel G Armato; Xianhan M Fei; Rachel E Tuohy; Hania A Al-Hallaq
Journal:  Med Phys       Date:  2013-06       Impact factor: 4.071

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