DocumentCode
2241464
Title
A short note on local region growing by pseudophysical simulation
Author
Brand, Matthew
Author_Institution
Inst. for Learning Sci., Northwestern Univ., Evanston, IL, USA
fYear
1993
fDate
15-17 Jun 1993
Firstpage
782
Lastpage
783
Abstract
A class of region growing algorithms based on an analogy to a mass suspended in a field of forces is presented. The mass represents the growing region, and the field represents the degree of concordance between local pixel values and the color characteristics of the region. The algorithms are particularly well suited to systems that are looking for specific simply-connected shapes in local areas of interest, for example, a rectangle of unknown size, elongation, or orientation. Comparing pseudophysical region growing with Hough transforms, it is shown that region growing has competitive space and time complexity, and that it does not require image preprocessing for boundaries
Keywords
Hough transforms; image processing; color characteristics; degree of concordance; local pixel values; local region growing; pseudophysical simulation; simply-connected shapes; space and time complexity; Area measurement; Deformable models; Focusing; Image reconstruction; Image resolution; Layout; Length measurement; Shape; Shape measurement; Solid modeling; Tires;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location
New York, NY
ISSN
1063-6919
Print_ISBN
0-8186-3880-X
Type
conf
DOI
10.1109/CVPR.1993.341173
Filename
341173
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