DocumentCode
2586920
Title
About lacunarity, some links between fractal and integral geometry, and an application to texture segmentation
Author
Vehel, Jacques Levy
Author_Institution
INRIA, Le Chesnay, France
fYear
1990
fDate
4-7 Dec 1990
Firstpage
380
Lastpage
384
Abstract
Two techniques are applied for segmentation of different states of one texture (e.g. deformations of a homogeneous texture): fractal geometry, which deals with the analysis of complex irregular shapes which cannot be described by the classical Euclidean geometry, and integral geometry, which treats sets globally and makes it possible to introduce robust measures. The author focuses on the study of two parameters, lacunarity and Favard length, and proves a theoretical link between them. As an application, the author achieves with an excellent accuracy automatic classification of lung diseases on SPECT images. Classical techniques tried on those images given poor results
Keywords
computer vision; computerised picture processing; fractals; medical diagnostic computing; Favard length; SPECT images; automatic classification; classical Euclidean geometry; complex irregular shapes; deformations; fractal geometry; homogeneous texture; integral geometry; lacunarity; lung diseases; texture segmentation; Chaos; Diseases; Fractals; Geometry; Image texture analysis; Lungs; Markov random fields; Radiography; Robustness; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location
Osaka
Print_ISBN
0-8186-2057-9
Type
conf
DOI
10.1109/ICCV.1990.139556
Filename
139556
Link To Document